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Last updated 7/2024 Duration: 10h56m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.02 GB Genre: eLearning | Language: English Master Dart programming-start from the basics and advance to building real-world applications with confidence! What you'll learn Dart Basics: Core concepts of Dart language including syntax, variables, and operators. Understanding Dart's data types and constants. Working with collections such as lists and maps. Control Flow and Functions: Implementing conditional statements and loops. Writing and using functions to organize code. Exploring Dart's function types, including anonymous functions. Object-Oriented Programming: Creating and utilizing classes and objects. Mastering inheritance, abstract classes, and interfaces. Implementing encapsulation and polymorphism in Dart. Advanced Dart Features: Utilizing generics for type-safe programming. Building custom libraries and modules. Handling asynchronous programming with futures and streams. Managing concurrency with isolates. Project Work: Developing a real-world project to create forms for a website using Dart. Applying Dart programming concepts in practical scenarios to build and update web applications. By the end of the course, students will have a solid understanding of Dart programming, capable of creating robust and efficient applications Requirements Basic Programming Knowledge: Familiarity with basic programming concepts such as variables, control structures, and functions is beneficial. Previous experience in any programming language (e.g., Java, Python, JavaScript) can be helpful but is not mandatory. Computer and Software Requirements: A computer with an internet connection to access course materials and online resources. Dart SDK installed on the computer (installation instructions will be provided during the course). Development Environment: A code editor or Integrated Development Environment (IDE) such as Visual Studio Code or IntelliJ IDEA. The course will guide you on setting up and configuring these tools. Curiosity and Enthusiasm: A willingness to learn and practice new programming concepts and techniques Description Introduction Dive into the world of Dart programming with our comprehensive course designed to take you from a beginner to an advanced level. This course covers all essential aspects of Dart, providing a robust foundation for building modern, high-performance applications. Whether you're a new developer looking to get started with Dart or an experienced programmer aiming to deepen your knowledge, this course offers structured lessons and practical projects to help you master Dart effectively. Section 1: Dart Programming Fundamentals In this section, you'll start with the basics of Dart, including its syntax, variables, and operators. You'll learn how to work with Dart's core features through hands-on examples, exploring topics such as Dart lists and constants. Each concept is introduced with clarity, building up from foundational elements to more complex uses of Dart. This section ensures that you grasp the essentials needed to write efficient and readable Dart code. Section 2: Intermediate Dart Programming Building on your foundational knowledge, this section delves into control structures and more advanced programming techniques. You'll explore if statements, switch cases, and various loop constructs. Functions and classes are covered in detail, including how to use inheritance and interfaces. This section will help you develop more complex logic and structures, preparing you for real-world programming challenges. Section 3: Advanced Dart Programming Take your Dart skills to the next level with advanced topics such as generic methods and classes, asynchronous programming, and exception handling. You'll work with Dart's stream class and isolate programs, learning how to create user-defined libraries and handle various types of programming scenarios. This section is designed to provide you with the expertise to tackle sophisticated programming tasks and optimize your Dart applications. Section 4: Project - Creating Forms for a Website Apply your Dart knowledge in a practical project where you'll create forms for a website. This project will guide you through setting up a project, updating details, and developing home components. You'll integrate your learning from the previous sections to build a functional and interactive web application, showcasing your Dart programming skills in a real-world context. Conclusion By the end of this course, you'll have a thorough understanding of Dart programming, from fundamental concepts to advanced techniques. You'll be equipped with the skills to build robust Dart applications and tackle complex programming problems with confidence. The practical project will consolidate your learning and demonstrate your capability to develop effective solutions using Dart. Who this course is for Aspiring Developers: Individuals looking to start a career in programming, especially those interested in mobile app development with Dart and Flutter. Software Engineers: Professionals who want to expand their skill set by learning Dart, a language that is gaining popularity for building scalable and efficient applications. Current Dart and Flutter Users: Developers who are already working with Dart and Flutter but want to deepen their understanding and enhance their coding skills. Tech Enthusiasts: Anyone passionate about learning new technologies and programming languages, and who wants to explore Dart for its unique features and applications Students and Graduates: Computer science students or recent graduates seeking practical programming skills to complement their academic knowledge and improve their employability. Developers Transitioning from Other Languages: Programmers experienced in other languages (such as JavaScript, Java, or Python) who are interested in learning Dart for its specific advantages in modern application development. Homepage Screenshots

Last updated 10/2023 Duration: 2h40m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.13 GB Genre: eLearning | Language: English Say no to HTML or CSS or any Coding and make professional Web Design Using Elementor & WordPress - Just DRAG & DROP Only What you'll learn Learn to make web design for any niche business Learn to make website without doing any coding Learn to make web design just by drag and drop Learn about Hosting & domain name & Wordpress installation. Learn how to set up contact & about us pages Learn to convert your Wordpress website intohttps secure (encrypted connection) Guide to write perfect blog for your website Requirements Nothing everything will be taught from zero Description Here in this course, Create Professional Web Design without any HTML or CSS . I'll teach you about Elementor and how to use it to make awesome-looking websites easy without writing any HTML or CSS . We'll be using a free theme and the free version of Elementor to create an awesome web design website. Elementor is a very powerful frontend tool to make websites and learning how to use it can be very beneficial. With Elementor you'll be able to make all sorts of different custom designs by just drag and dropping elements and customizing them. Elementor also has a huge variety of templates that can help you speed up the process of building websites. The website that we'll be making will be a simple portfolio website with 3 pages. I'll be teaching you how to make a beautiful homepage and also we'll be making contact me and about me page. I'll show you how to make awesome-looking buttons and beautiful sections with shape dividers that make them stand out. This course is perfect for complete Web Design beginners and if you wanna get into Web Design, this course is perfect for you. We'll start the course from a brand new installation of WordPress with nothing on it and we'll be making the needed pages and study about the very basics of how Elementor works. The design that we'll be making will be a very simple and minimalistic design that is perfect for beginners. Whether you are a business owner who wants a do-it-yourself training course for web design Or a freelancer who wants to create a website and promote their services In this web design training you will learn how to master Elementor and create beautiful web pages that promote your business or freelance offer. So I will see you inside this course "Guide To Web Design Using Elementor & WordPress " What you will learn You will learn the structure for a business/freelancer page You will learn how to create the entire web page with a click and drag interface The training will involve a full tutorial on how you can create a webpage from scratch You will become a pro Elementor user who can build any type of page you can think of: sales pages, landing pages, thank you pages, offer pages, etc. and you will not have to rely on programmers for your web pages Enroll inside this course today and start building your own websites Who this course is for Anyone who wants to do web design Homepage Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 370.68 MB | Duration: 1h 9m A course for experiences developers learning a new language. Not fluff, learn Go fast! What you'll learn Get an overview of the GO language. How constants and variables work. The basic GO Data Types Defining and using functions. If/Else and Switch Statements While loops and for loops Arrays, Slices and Maps How Strings work along with Runes and Bytes How to use Interfaces in GO What GO structs are and how to use them Pointers in GO Parallel processing, concurrency and Goroutines Using Channels with Goroutines How to use Mutexes with concurrency Generics for Functions and Structs How to Build and API in GO Requirements Some Programming Experience Description This is a comprehensive course for learning Golang for experienced developers. We cover everything you need in detail, while assuming you don't need a 15 minute video on print statements. This course is meant to get you started in Go as quick as possible and in a fun and entertaining way. This course does not skimp on content, it just presents it in a concise way in order to not waste your time and get you up and running with Go in no time!Learn about:- The main philosophy of Go, its general design and its strongly/statically types properties- How to use constants vs variables- The basic data types like ints, floats and strings- Creating and using functions- If, else if and else statements- Switch statements- While loops and for loops- The difference between arrays and slices- How strings, runes and bytes all relate to each other and how to use them- Using interfaces to make your code more flexible- What structs are in Golang and how to best use them- Memory management and pointers- Parallelism and concurrency with Goroutines- How to use channels with Goroutines- Using generics to make your functions and structs more flexible- Building and API from scratch- Middleware and auth in APIs- Installing and importing external packages Overview Section 1: Introduction Lecture 1 Introduction Section 2: Variables and Constants Lecture 2 Constants, variables and the basic data types in GO. Section 3: Control Structures and Functions Lecture 3 Functions and If/Else and Switch Statement. Section 4: Using Loops with Iterables Data Types Lecture 4 While Loops, For Loops, Arrays, Slices and Maps Section 5: The Weird World of Strings in Go Lecture 5 Strings, Runes and Bytes Section 6: Interfaces and Structs Lecture 6 Interfaces and Structs Section 7: Memory in Go Lecture 7 Pointers in Go Section 8: Parallelism and Concurrency Lecture 8 Goroutines Section 9: Using Channels with Goroutines Lecture 9 Channels with Goroutines Section 10: Using Generics for Functions and Structs Lecture 10 Generics Section 11: Building and API in GO! Lecture 11 Building and API with Auth and Middleware Intermediate developers who are learning a new language. Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 504.59 MB | Duration: 0h 39m Decision-making in the Age of Big Data and Getting What We Want What you'll learn Recognize human limitations in the Age of Big Data, and the perils, and pitfalls Recognizing irrational human behavior, and how to overcome same Dealing with multi-criteria decisions. How to assign significance to criteria, and to rank candidates The role of Event probability, and Impact probability when dealing with decisions that have uncertainties. Requirements None Description Think for a moment, everything in life is about„.I. Knowing What We Want (=Decision-making), and Getting What We Want (Negotiating)2. Every action we take is driven by a Decision, and Every interaction we engage in isa Negotiation3. In life you don't get what you deserve; you get what you Negotiate.4. The PRIZE, has a PRICE, always (see the spelling)Most folks have illusions of infallibility - they are convinced that commonsense and logic is adequate in today's age of BIG DATA. This course will give the student a new insight. The main thrust of this course is to address human irrationalities. Then we show the perils of inherent biases that hinder the search for the optimum decision. We will first deal with multi-criteria decisions, demonstrating that we should not simply assign criteria weights. Then we will show the need for decision-validation. Next we will deal with uncertainties. We will discuss Event Probabilities, and Impact Probabilities. The student will be introduced to D-Zone maps. Decision-making, and Negotiating have a serious impact on everything you do in life. It is imperative that you continue to upskill yourself in these two areas. We encourage you to take the self-assessment. Good luck. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Decision-making Lecture 2 What is decision-making Lecture 3 The Big-Data Section 3: Negotiating Lecture 4 Essential Guidelines Lecture 5 The Phases Lecture 6 The Rules Lecture 7 The Role of Power Lecture 8 Concluding Comments Those who are struggling to make decisions; and also those who have concerns about negotiating to get what we want. Screenshots

Published 8/2024 Created by Waleed Adel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 37m ) | Size: 1.42 GB Build a Complete E-Commerce with Angular 18: Featuring Authentication, Payment Integration, and Advanced Functionalities What you'll learn: Develop modern, complex, responsive and scalable web applications with Angular 18 Create single-page applications with one of the most modern JavaScript frameworks out there Fully understand the architecture behind an Angular 18 application and how to use it Use the gained, deep understanding of the Angular fundamentals to quickly establish yourself as a frontend developer Build complete e-commerce project with all features included authentication and payment Requirements: Angular Framework, Typescript, Bootstrap, HTML, SCSS Description: Welcome to "Build a Modern E-Commerce App with Angular 18"! This comprehensive course is designed for developers who want to create a fully functional, high-performance e-commerce application using the latest version of Angular.In this course, you will:- Learn Angular 18: Dive deep into Angular 18, exploring its new features and improvements.- Build a Complete E-Commerce App: From setting up your development environment to deploying your app, you'll build a complete e-commerce application step-by-step.- Optimize Performance: Implement best practices for optimizing the performance of your Angular app, ensuring a smooth user experience.- Advanced Theming and Styling: Customize your app's appearance with Angular Material and advanced theming techniques.- Seamless Routing and Navigation: Master Angular's powerful routing capabilities to create a seamless navigation experience for your users.- Animations and User Experience: Enhance your app with smooth animations and transitions to provide a delightful user experience.- Secure Authentication: Implement secure authentication and authorization to protect your users' data.- Responsive Design: Ensure your app looks great on all devices with responsive design techniques.- Real-World Project: Apply your skills to a real-world project, gaining hands-on experience and building a portfolio-worthy application.By the end of this course, you'll have the skills and confidence to build and deploy a modern e-commerce application using Angular 18. Whether you're a beginner or an experienced developer, this course will provide you with valuable insights and practical knowledge.Join us and take your Angular skills to the next level Who this course is for: Web developer, Angular Developers. Developers who need to practice with complete projects from A to Z. Homepage

Last updated 12/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 516.61 MB | Duration: 0h 45m Take your Windows Autopilot configuration to the next level, with advanced knowledge & skills from a Microsoft MVP. What you'll learn Learn how licensing works with Windows Autopilot Understand the capabilities and use-cases for Windows Autopilot Understand the Windows Autopilot Hardware Hash Become familiar with the limitations of Windows Autopilot Experience how to configure Windows Autopilot Experience Advanced methods of Troubleshooting Windows Autopilot Requirements Some knowledge of Windows administration Some knowledge of Intune Appetite to delve deep into technical concepts related to Windows Autopilot Description We're excited to bring you exclusive Microsoft MVP led Windows Autopilot training, here on Udemy!Windows Autopilot has been around since 2017. This is not a new technology, and yet, not everyone who uses or relies on Autopilot really understands how it works. I'm Dean - I'm a Microsoft MVP and Certified trainer, and I've been working with Autopilot since it was released. In this course, we're going to cover Autopilot in depth - from understanding what a hardware hash is and what it's made up of, through to deploying devices at scale via an OEM.If you're an IT admin with some experience of Autopilot or Windows Deployment, and you want to become the subject matter expert for your team - this course is for you. We skip the basics, and jump straight into the technical detail.We cover:What is Windows Autopilot: Understand what Windows Autopilot is, understand Azure Active Directory and Intune core components related to Autopilot, understand license concepts and requirements for Windows AutopilotThe Windows Autopilot Hardware HashUnderstand the Autopilot hardware hash, Learn the possible methods to obtain the hardware hash, Review how the hardware hash is generated, Understand when not to use the hardware hashWindows Autopilot in ActionIn this module we witness how Autopilot works in a basic lab environment. We'll create an Autopilot Profile and deploy it to a target workstation.Troubleshooting Windows AutopilotLearn how to troubleshoot Windows Autopilot - from Log Collection to Analysis Overview Section 1: What is Windows Autopilot? Lecture 1 Introduction to Autopilot Lecture 2 Introduction to the portals Lecture 3 Licensing Lecture 4 Limitations Lecture 5 Hybrid vs Cloud Section 2: The Windows Autopilot Hardware Hash Lecture 6 Introduction Lecture 7 What is a Hardware Hash? Lecture 8 Hardware Hash Deep Dive (Demo) Lecture 9 Hardware hash collection (Demo) Lecture 10 The Partner Advantage Section 3: Windows Autopilot in Action Lecture 11 Introduction Lecture 12 Create Groups Lecture 13 Create Profile Lecture 14 Build an Autopilot Device Section 4: Troubleshooting Windows Autopilot Lecture 15 Introduction to Troubleshooting Lecture 16 Understanding the Enrollment Status Page Lecture 17 Enable and Configure the ESP Lecture 18 ESP Experience Lecture 19 ESP and Error Handling Lecture 20 Enrollment Status Page Improvements in Windows 11 Experienced Windows administrators who have a need to understand more about Windows Autopolit Screenshots

Last updated 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.25 GB | Duration: 22h 27m The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau - Everything is included What you'll learn Become an expert in Statistics, SQL, Tableau, and problem solving Boost your resume with in-demand skills Gather, organize, analyze and visualize data Use data for improved business decision-making Present information in the form of metrics, KPIs, reports, and dashboards Perform quantitative and qualitative business analysis Analyze current and historical data Discover how to find trends, market conditions, and research competitor positioning Understand the fundamentals of database theory Use SQL to create, design, and manipulate SQL databases Extract data from a database writing your own queries Create powerful professional visualizations in Tableau Combine SQL and Tableau to visualize data from the source Solve real-world business analysis tasks in SQL and Tableau Requirements No prior experience is required. We will start from the very basics You'll need to install MySQL, Tableau Public, and Anaconda. We will show you how to do it step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 Description Hi! Welcome to The Business Intelligence Analyst Course, the only course you need to become a BI Analyst. We are proud to present you this one-of-a-kind opportunity. There are several online courses teaching some of the skills related to the BI Analyst profession. The truth of the matter is that none of them completely prepare you.Our program is different than the rest of the materials available online. It is truly comprehensive. The Business Intelligence Analyst Course comprises of several modules: Introduction to Data and Data Science Statistics and Excel Database theory SQL Tableau SQL + Tableau These are the precise technical skills recruiters are looking for when hiring BI Analysts. And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. This course will be the secret to your success. And your success is our success, so let's make it happen! Here are some more details of what you get with The Business Intelligence Analyst Course: Introduction to Data and Data Science - Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, reinforcement learning, and many more; Statistics and Excel - Understand statistical testing and build a solid foundation. Modern software packages and programming languages are automating most of these activities, but this part of the course gives you something more valuable - critical thinking abilities; Database theory - Before you start using SQL, it is highly beneficial to learn about the underlying database theory and acquire an understanding of why databases are created and how they can help us manage data SQL - when you can work with SQL, it means you don't have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business Tableau - one of the most powerful and intuitive data visualization tools available out there. Almost all large companies use such tools to enhance their BI capabilities. Tableau is the #1 best-in-class solution that helps you create powerful charts and dashboards Learning a programming language is meaningless without putting it to use. That's why we integrate SQL and Tableau, and perform several real-life Business Intelligence tasks Sounds amazing, right? Our courses are unique because our team works hard to: Pre-script the entire content Work with real-life examples Provide easy to understand and complete explanations Create beautiful and engaging animations Prepare exercises, course notes, quizzes, and other materials that will enhance your course taking experience Be there for you and provide support whenever necessary We love teaching and we are really excited about this journey. It will get your foot in the door of an exciting and rising profession. Don't hesitate and subscribe today. The only regret you will have is that you didn't find this course sooner! Overview Section 1: Part 1: Introduction Lecture 1 What Does the Course Cover Lecture 2 Download All Resources Section 2: Intro to Data and Data Science - The Different Data Science Fields Lecture 3 Why Are There So Many Business and Data Science Buzzwords? Lecture 4 Analysis vs Analytics Lecture 5 Intro to Business Analytics, Data Analytics, and Data Science Lecture 6 Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture Lecture 7 An Overview of our Data Science Infographic Section 3: Intro to Data and Data Science - The Relationship between Different Fields Lecture 8 When are Traditional data, Big Data, BI, Traditional Data Science and ML applied Section 4: Intro to Data and Data Science - What is the Purpose of each Data Science Field Lecture 9 Why do we Need each of these Disciplines? Section 5: Intro to Data and Data Science - Common Data Science Techniques Lecture 10 Traditional Data: Techniques Lecture 11 Traditional Data: Real-life Examples Lecture 12 Big Data: Techniques Lecture 13 Big Data: Real-life Examples Lecture 14 Business Intelligence (BI): Techniques Lecture 15 Business Intelligence (BI): Real-life Examples Lecture 16 Traditional Methods: Techniques Lecture 17 Traditional Methods: Real-life Examples Lecture 18 Machine Learning (ML): Techniques Lecture 19 Machine Learning (ML): Types of Machine Learning Lecture 20 Machine Learning (ML): Real-life Examples Section 6: Intro to Data and Data Science - Common Data Science Tools Lecture 21 Programming Languages & Software Employed in Data Science - All the Tools Needed Section 7: Intro to Data and Data Science - Data Science Career Paths Lecture 22 Data Science Job Positions: What do they Involve and What to Look out for? Section 8: Intro to Data and Data Science - Dispelling Common Misconceptions Lecture 23 Dispelling common Misconceptions Section 9: Part 2: Statistics - Population and Sample Lecture 24 Population vs sample Section 10: Statistics - Descriptive Statistics Lecture 25 Types of Data Lecture 26 Levels of Measurement Lecture 27 Categorical Variables - Visualization Techniques Lecture 28 Categorical Variables Exercise Lecture 29 Numerical Variables - Frequency Distribution Table Lecture 30 Numerical Variables Exercise Lecture 31 The Histogram Lecture 32 Histogram Exercise Lecture 33 Cross Table and Scatter Plot Lecture 34 Cross Tables and Scatter Plots Exercise Lecture 35 Mean, median and mode Lecture 36 Mean, Median and Mode Exercise Lecture 37 Skewness Lecture 38 Skewness Exercise Lecture 39 Variance Lecture 40 Variance Exercise Lecture 41 Standard Deviation and Coefficient of Variation Lecture 42 Standard Deviation and Coefficient of Variation Exercise Lecture 43 Covariance Lecture 44 Covariance Exercise Lecture 45 Correlation Coefficient Lecture 46 Correlation Coefficient Exercise Section 11: Statistics - Practical Example: Descriptive Statistics Lecture 47 Practical Example Lecture 48 Practical Example Exercise Section 12: Statistics - Inferential Statistics Fundamentals Lecture 49 Introduction Lecture 50 What is a Distribution Lecture 51 The Normal Distribution Lecture 52 The Standard Normal Distribution Lecture 53 The Standard Normal Distribution Exercise Lecture 54 Central Limit Theorem Lecture 55 Standard error Lecture 56 Estimators and Estimates Section 13: Statistics - Inferential Statistics: Confidence Intervals Lecture 57 What are Confidence Intervals? Lecture 58 Confidence Intervals; Population Variance Known; z-score Lecture 59 Confidence Intervals; Population Variance Known; z-score Exercise Lecture 60 Confidence interval clarifications Lecture 61 Student's T Distribution Lecture 62 Confidence Intervals; Population Variance Unknown; t-score Lecture 63 Confidence Intervals; Population Variance Unknown; t-score Exercise Lecture 64 Margin of Error Lecture 65 Confidence intervals. Two means. Dependent samples Lecture 66 Confidence intervals. Two means. Dependent samples Exercise Lecture 67 Confidence intervals. Two means. Independent samples (Part 1) Lecture 68 Confidence intervals. Two means. Independent samples (Part 1) Exercise Lecture 69 Confidence intervals. Two means. Independent samples (Part 2) Lecture 70 Confidence intervals. Two means. Independent samples (Part 2) Exercise Lecture 71 Confidence intervals. Two means. Independent samples (Part 3) Section 14: Statistics - Practical Example: Inferential Statistics Lecture 72 Practical Example: Inferential Statistics Lecture 73 Practical Example: Inferential Statistics Exercise Section 15: Statistics - Hypothesis Testing Lecture 74 The Null vs Alternative Hypothesis Lecture 75 Further Reading on Null and Alternative Hypothesis Lecture 76 Rejection Region and Significance Level Lecture 77 Type I Error and Type II Error Lecture 78 Test for the Mean. Population Variance Known Lecture 79 Test for the Mean. Population Variance Known Exercise Lecture 80 p-value Lecture 81 Test for the Mean. Population Variance Unknown Lecture 82 Test for the Mean. Population Variance Unknown Exercise Lecture 83 Test for the Mean. Dependent Samples Lecture 84 Test for the Mean. Dependent Samples Exercise Lecture 85 Test for the mean. Independent samples (Part 1) Lecture 86 Test for the mean. Independent samples (Part 1). Exercise Lecture 87 Test for the mean. Independent samples (Part 2) Lecture 88 Test for the mean. Independent samples (Part 2) Section 16: Statistics - Practical Example: Hypothesis Testing Lecture 89 Practical Example: Hypothesis Testing Lecture 90 Practical Example: Hypothesis Testing Exercise Section 17: Part 3: Relational Database Theory & Introduction to SQL Lecture 91 Why use SQL? Lecture 92 Why use MySQL? Lecture 93 Introducing Databases Lecture 94 Relational Database Fundamentals Lecture 95 Comparing Databases and Spreadsheets Lecture 96 Important Database Terminology Lecture 97 The Concept of Relational Schemas: Primary Key Lecture 98 The Concept of Relational Schemas: Foreign Key Lecture 99 The Concept of Relational Schemas: Unique Key and Null Values Lecture 100 The Concept of Relational Schemas: Relationships Between Tables Section 18: SQL - Install and get to know MySQL Lecture 101 Installing MySQL Workbench and Server Lecture 102 Installing Visual C Lecture 103 Installing MySQL on macOS and Unix systems Lecture 104 The Client-Server Model Lecture 105 Linking GUI with the MySQL Server Lecture 106 Read me!!! Lecture 107 Creating a New User and a New Connection to it Lecture 108 Familiarize Yourself with the MySQL Interface Lecture 109 SQL Fundamentals - MySQL Session and Databases Lecture 110 SQL Fundamentals - DROP, CREATE, SELECT, INSERT, DELETE Section 19: SQL - Best SQL Practices Lecture 111 Coding Tips and Best Practices - I Lecture 112 Coding Tips and Best Practices - II Section 20: SQL - Loading the 'employees' Database Lecture 113 Loading the 'employees' Database Lecture 114 Loading the 'employees' Database Section 21: SQL - Practical Application of the SQL SELECT Statement Lecture 115 Using SELECT - FROM Lecture 116 Using SELECT - FROM - Exercise Lecture 117 Using SELECT - FROM - Solution Lecture 118 Using WHERE Lecture 119 Using WHERE - Exercise Lecture 120 Using WHERE - Solution Lecture 121 Using AND Lecture 122 Using AND - Exercise Lecture 123 Using AND - Solution Lecture 124 Using OR Lecture 125 Using OR - Exercise Lecture 126 Using OR - Solution Lecture 127 Operator Precedence and Logical Order Lecture 128 Operator Precedence and Logical Order - Exercise Lecture 129 Operator Precedence and Logical Order - Solution Lecture 130 Using IN - NOT IN Lecture 131 Using IN - NOT IN - Exercise 1 Lecture 132 Using IN - NOT IN - Solution 1 Lecture 133 Using IN - NOT IN - Exercise 2 Lecture 134 Using IN - NOT IN - Solution 2 Lecture 135 Using LIKE - NOT LIKE Lecture 136 Using LIKE - NOT LIKE - Exercise Lecture 137 Using LIKE - NOT LIKE - Solution Lecture 138 Using Wildcard Characters Lecture 139 Using Wildcard characters - Exercise Lecture 140 Using Wildcard characters - Solution Lecture 141 Using BETWEEN - AND Lecture 142 Using BETWEEN - AND - Exercise Lecture 143 Using BETWEEN - AND - Solution Lecture 144 Using IS NOT NULL - IS NULL Lecture 145 Using IS NOT NULL - IS NULL - Exercise Lecture 146 Using IS NOT NULL - IS NULL - Solution Lecture 147 Using Other Comparison Operators Lecture 148 Using Other Comparison Operators - Exercise Lecture 149 Using Other Comparison Operators - Solution Lecture 150 Using SELECT DISTINCT Lecture 151 Using SELECT DISTINCT - Exercise Lecture 152 Using SELECT DISTINCT - Solution Lecture 153 Getting to Know Aggregate Functions Lecture 154 Getting to Know Aggregate Functions - Exercise Lecture 155 Getting to Know Aggregate Functions - Solution Lecture 156 Using ORDER BY Lecture 157 Using ORDER BY - Exercise Lecture 158 Using ORDER BY - Solution Lecture 159 Using GROUP BY Lecture 160 Using Aliases (AS) Lecture 161 Using Aliases (AS) - Exercise Lecture 162 Using Aliases (AS) - Solution Lecture 163 Using HAVING Lecture 164 Using HAVING - Exercise Lecture 165 Using HAVING - Solution Lecture 166 Using WHERE vs HAVING - Part I Lecture 167 Using WHERE vs HAVING - Part II Lecture 168 Using WHERE vs HAVING - Part II - Exercise Lecture 169 Using WHERE vs HAVING - Part II - Solution Lecture 170 Using LIMIT Lecture 171 Using LIMIT - Exercise Lecture 172 Using LIMIT - Solution Section 22: SQL - Expanding on MySQL Aggregate Functions Lecture 173 Applying COUNT() Lecture 174 Applying COUNT() - Exercise Lecture 175 Applying COUNT() - Solution Lecture 176 Applying SUM() Lecture 177 Applying SUM() - Exercise Lecture 178 Applying SUM() - Solution Lecture 179 MIN() and MAX() Lecture 180 MIN() and MAX() - Exercise Lecture 181 MIN() and MAX() - Solution Lecture 182 Applying AVG() Lecture 183 Applying AVG() - Exercise Lecture 184 Applying AVG() - Solution Lecture 185 Rounding Numbers with ROUND() Lecture 186 Rounding Numbers with ROUND() - Exercise Lecture 187 Rounding Numbers with ROUND() - Solution Section 23: SQL - SQL JOINs Lecture 188 What are JOINs? Lecture 189 What are JOINs? - Exercise 1 Lecture 190 What are JOINs? - Exercise 2 Lecture 191 The Functionality of INNER JOIN - Part I Lecture 192 The Functionality of INNER JOIN - Part II Lecture 193 The Functionality of INNER JOIN - PART II - Exercise Lecture 194 The Functionality of INNER JOIN - PART II - Solution Lecture 195 Extra Info on Using Joins Lecture 196 Duplicate Rows Lecture 197 The Functionality of LEFT JOIN - Part I Lecture 198 The Functionality of LEFT JOIN - Part II Lecture 199 The Functionality of LEFT JOIN - Part II - Exercise Lecture 200 The Functionality of LEFT JOIN - Part II - Solution Lecture 201 The Functionality of RIGHT JOIN Lecture 202 Differences between the New and the Old Join Syntax Lecture 203 Differences between the New and the Old Join Syntax - Exercise Lecture 204 Differences between the New and the Old Join Syntax - Solution Lecture 205 Using JOIN and WHERE Together Lecture 206 Important - Prevent Error Code: 1055! Lecture 207 Using JOIN and WHERE Together - Exercise Lecture 208 Using JOIN and WHERE Together - Solution Lecture 209 The Functionality of CROSS JOIN Lecture 210 The Functionality of CROSS JOIN - Exercise 1 Lecture 211 The Functionality of CROSS JOIN - Solution 1 Lecture 212 The Functionality of CROSS JOIN - Exercise 2 Lecture 213 The Functionality of CROSS JOIN - Solution 2 Lecture 214 Combining Aggregate Functions with Joins Lecture 215 JOIN More than Two Tables Lecture 216 JOIN More than Two Tables - Exercise Lecture 217 JOIN More than Two Tables - Solution Lecture 218 Top Tips for Joins Lecture 219 Top Tips for Joins - Exercise Lecture 220 Top Tips for Joins - Solution Lecture 221 The Differences Between UNION and UNION ALL Lecture 222 The Differences Between UNION and UNION ALL - Exercise Lecture 223 The Differences Between UNION and UNION ALL - Solution Section 24: SQL - SQL Subqueries Lecture 224 SQL Subqueries with IN Embedded Inside WHERE Lecture 225 SQL Subqueries with IN Embedded Inside WHERE - Exercise Lecture 226 SQL Subqueries with IN Embedded Inside WHERE - Solution Lecture 227 SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE Lecture 228 SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise Lecture 229 SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution Lecture 230 SQL Subqueries Nested in SELECT and FROM Lecture 231 SQL Subqueries Embedded in SELECT and FROM - Exercise 1 Lecture 232 SQL Subqueries Embedded in SELECT and FROM - Exercise 2 Lecture 233 SQL Subqueries Nested in SELECT and FROM - Solution 2 Section 25: SQL - Stored Routines Lecture 234 Defining Stored Routines Lecture 235 Create Stored Procedures with MySQL Syntax Lecture 236 An Example of Stored Procedures Part I Lecture 237 An Example of Stored Procedures Part II Lecture 238 An Example of Stored Procedures Part II - Exercise Lecture 239 An Example of Stored Procedures Part II - Solution Lecture 240 Creating a Procedure in MySQL Another Way Lecture 241 Create Stored Procedures with an Input Parameter Lecture 242 Create Stored Procedures with an Output Parameter Lecture 243 Create Stored Procedures with an Output Parameter - Exercise Lecture 244 Stored Procedures with an Output Parameter - Solution Lecture 245 SQL Variables Lecture 246 SQL Variables - Exercise Lecture 247 SQL Variables - Solution Lecture 248 The Benefit of User-Defined Functions in MySQL Lecture 249 Error Code: 1418. Lecture 250 The Benefit of User-Defined Functions in MySQL - Exercise Lecture 251 The Benefit of User-Defined Functions in MySQL - Solution Lecture 252 Concluding Stored Routines Section 26: SQL - The CASE Statement Lecture 253 The SQL CASE Statement Lecture 254 The SQL CASE Statement - Exercise 1 Lecture 255 THE SQL CASE Statement - Solution 1 Lecture 256 THE SQL CASE Statement - Exercise 2 Lecture 257 THE SQL CASE Statement - Solution 2 Lecture 258 THE SQL CASE Statement - Exercise 3 Lecture 259 THE SQL CASE Statement - Solution 3 Section 27: SQL - Window Functions Lecture 260 Introduction to MySQL Window Functions Lecture 261 The ROW_NUMBER() Ranking Window Function and the Relevant MySQL Syntax Lecture 262 The ROW_NUMBER Ranking Window Function - Exercise Lecture 263 The ROW_NUMBER Ranking Window Function - Solution Lecture 264 A Note on Using Several Window Functions in a Query Lecture 265 A Note on Using Several Window Functions in a Query - Exercise Lecture 266 A Note on Using Several Window Functions in a Query - Solution Lecture 267 MySQL Window Functions Syntax Lecture 268 MySQL Window Functions Syntax - Exercise Lecture 269 MySQL Window Functions Syntax - Solution Lecture 270 The PARTITION BY Clause vs the GROUP BY Clause Lecture 271 The PARTITION BY Clause vs the GROUP BY Clause - Exercise Lecture 272 The PARTITION BY Clause vs the GROUP BY Clause - Solution Lecture 273 The MySQL RANK() and DENSE_RANK() Window Functions Lecture 274 The MySQL RANK() and DENSE_RANK() Window Functions - Exercise Lecture 275 The MySQL RANK() and DENSE_RANK() Window Functions - Solution Lecture 276 Working with MySQL Ranking Window Functions and Joins Together Lecture 277 Working with MySQL Ranking Window Functions and Joins Together - Exercise Lecture 278 Working with MySQL Ranking Window Functions and Joins Together - Solution Lecture 279 The LAG() and LEAD() Value Window Functions Lecture 280 The LAG() and LEAD() Value Window Functions - Exercise Lecture 281 The LAG() and LEAD() Value Window Functions - Solution Lecture 282 MySQL Aggregate Functions in the Context of Window Functions - Part I Lecture 283 MySQL Aggregate Functions in the Context of Window Functions - Part I-Exercise Lecture 284 MySQL Aggregate Functions in the Context of Window Functions - Part I-Solution Lecture 285 MySQL Aggregate Functions in the Context of Window Functions - Part II Lecture 286 MySQL Aggregate Functions in the Context of Window Functions - Part II-Exercise Lecture 287 MySQL Aggregate Functions in the Context of Window Functions - Part II-Solution Section 28: SQL Common Table Expressions (CTEs) Lecture 288 MySQL Common Table Expressions - Introduction Lecture 289 An Alternative Solution to the Same Task Lecture 290 An Alternative Solution to the Same Task-Exercise Lecture 291 An Alternative Solution to the Same Task-Solution Lecture 292 Using Multiple Subclauses in a WITH Clause - Part I Lecture 293 Using Multiple Subclauses in a WITH Clause - Part II Lecture 294 Using Multiple Subclauses in a WITH Clause-Exercise Lecture 295 Using Multiple Subclauses in a WITH Clause-Solution Lecture 296 Referring to Common Table Expressions in a WITH Clause Section 29: SQL Temporary Tables Lecture 297 MySQL Temporary Tables - Introduction Lecture 298 MySQL Temporary Tables in Action Lecture 299 MySQL Temporary Tables in Action-Exercise Lecture 300 MySQL Temporary Tables in Action-Solution Lecture 301 Other Features of MySQL Temporary Tables Lecture 302 Other Features of MySQL Temporary Tables-Exercise Lecture 303 Other Features of MySQL Temporary Tables-Solution Section 30: Part 4: Introduction to Tableau Lecture 304 Why Use Tableau: Make Your Data Make an Impact Lecture 305 Let's Download Tableau Public Lecture 306 Connecting Data in Tableau Lecture 307 Exploring Tableau's Interface Lecture 308 Let's Create our first Chart in Tableau! Section 31: Tableau - Tableau functionalities Lecture 309 Duplicating a Sheet Lecture 310 Creating a Table Lecture 311 Creating Custom Fields Lecture 312 Creating a Custom Field and Adding Calculations to a Table Lecture 313 Adding Totals and Subtotals Lecture 314 Adding a Custom Calculation Lecture 315 Inserting a Filter Lecture 316 Working with Joins in Tableau Section 32: Tableau - The Tableau Exercise Lecture 317 Introduction to the Exercise Lecture 318 Let's Create a Dashboard - Visualizing the Three Charts We Want to Create Lecture 319 Using Joins in Tableau Lecture 320 Performing a Numbers Check - Attempt #1 Lecture 321 Blending Data in Tableau Lecture 322 Performing a Numbers Check - Attempt #2 Lecture 323 First Chart Lecture 324 Second Chart Lecture 325 Third Chart Lecture 326 Creating and Formatting a Dashboard Lecture 327 Adding Interactive Filters for Improved Analysis Lecture 328 Interactive Filters - fix Section 33: Part 5: Combining SQL and Tableau - Introduction Lecture 329 Introduction to Software Integration Lecture 330 Combining SQL and Tableau Lecture 331 Loading the Database Lecture 332 Loading the Database Section 34: Combining SQL and Tableau - Problem 1 Lecture 333 Problem 1: Task Lecture 334 Problem 1: Task - Text Lecture 335 Important clarification! Lecture 336 Problem 1: Solution in SQL Lecture 337 Problem 1: Solution in SQL - Code Lecture 338 Exporting Your Output from SQL and Loading it in Tableau Lecture 339 Chart 1: Visualizing the Solution in Tableau - Part I Lecture 340 Chart 1: Visualizing the Solution in Tableau - Part II Section 35: Combining SQL and Tableau - Problem 2 Lecture 341 Problem 2: Task Lecture 342 Problem 2: Task - Text Lecture 343 Problem 2: Solution in SQL Lecture 344 Problem 2: Solution in SQL - Code Lecture 345 Chart 2: Visualizing the Solution in Tableau Section 36: Combining SQL and Tableau - Problem 3 Lecture 346 Problem 3: Task Lecture 347 Problem 3: Task - Text Lecture 348 Problem 3: Solution in SQL Lecture 349 Problem 3: Solution in SQL - Code Lecture 350 Chart 3: Visualizing the Solution in Tableau Section 37: Combining SQL and Tableau - Problem 4 Lecture 351 Problem 4: Task Lecture 352 Problem 4: Task - Text Lecture 353 Problem 4: Solution in SQL Lecture 354 Problem 4: Solution in SQL - Code Lecture 355 Chart 4: Visualizing the Solution in Tableau Section 38: Combining SQL and Tableau - Problem 5 Lecture 356 Problem 5: Organizing Charts 1-4 into a Beautiful Dashboard Section 39: Part 6: Introduction to Programming with Python Lecture 357 A 5-minute explanation of Programming Lecture 358 Why use Python? Lecture 359 Why use Jupyter? Lecture 360 How to Install Python and Jupyter Lecture 361 Understanding Jupyter's Interface - Dashboard Lecture 362 Understanding Jupyter's Interface - Prerequisites for Coding Lecture 363 Python 2 vs Python 3 Section 40: Python - Python Variables and Data Types Lecture 364 Python Variables Lecture 365 Understanding Numbers and Boolean Values Lecture 366 Strings Section 41: Python - Python Syntax Fundamentals Lecture 367 The Arithmetic Operators of Python Lecture 368 What is the Double Equality Sign? Lecture 369 How to Reassign Values Lecture 370 How to Add Comments Lecture 371 Understanding Line Continuation Lecture 372 How to Index Elements Lecture 373 How to Structure Your Code with Indentation Section 42: Python - Other Python Operators Lecture 374 Python's Comparison Operators Lecture 375 Python's Logical and Identity Operators Section 43: Python - Conditional Statements Lecture 376 Getting to know the IF Statement Lecture 377 Adding an ELSE statement Lecture 378 Else if, for Brief - ELIF Lecture 379 An Additional Explanation of Boolean Values Section 44: Python - Functions Lecture 380 How to Define a Function in Python Lecture 381 How to Create a Function with a Parameter Lecture 382 Define a Function in Another Way Lecture 383 How to Use a Function within a Function Lecture 384 Use Conditional Statements and Functions Together Lecture 385 How to Create Functions Which Contain a Few Arguments Lecture 386 Built-In Functions in Python Worth Knowing Section 45: Python - Python Sequences Lecture 387 Introduction to Lists Lecture 388 Using Methods in Python Lecture 389 What is List Slicing? Lecture 390 Working with Tuples Lecture 391 Python Dictionaries Section 46: Python - Using Iterations Lecture 392 Using For Loops Lecture 393 Using While Loops and Incrementing Lecture 394 Use the range() Function to Create Lists Lecture 395 Combine Conditional Statements and Loops Lecture 396 All In - Conditional Statements, Functions, and Loops Lecture 397 How to Iterate over Dictionaries Section 47: Python - Advanced Python tools Lecture 398 Introduction to Object Oriented Programming (OOP) Lecture 399 Using Modules and Packages Lecture 400 What is the Standard Library? Lecture 401 How to Import Modules in Python Section 48: Part 7: Integration - Software Integration Lecture 402 Getting Started with Data, Servers, Clients, Requests, and Responses Lecture 403 Getting Started with Data Connectivity, APIs, and Endpoints Lecture 404 Become Better Acquainted with APIs Lecture 405 Communication through Text Files Lecture 406 What is Software Integration and How is it Applied? Section 49: Integration - What is contained in this Course? Lecture 407 Solving a Business Exercise with Python, SQL, and Tableau Lecture 408 Presenting the Task: Absenteeism at Work Lecture 409 Presenting the Data Set Section 50: Integration - Data Preprocessing Step by Step Lecture 410 How is the Content in the Next Sections Organized? Lecture 411 How to Import the Data Set in Python Lecture 412 Exploring the Data Set Lecture 413 Programming vs the Rest of the World Lecture 414 A Brief Summary of Regression Analysis Lecture 415 The Approach we will Take to Solve this Exercise Lecture 416 Dropping Variables We Don't Need Lecture 417 EXERCISE - Dropping Variables We Don't Need Lecture 418 SOLUTION - Dropping Variables We Don't Need Lecture 419 A Deeper Look at the 'Reasons for Absence' Column Lecture 420 Splitting a Variable into Multiple Dummy Variables Lecture 421 EXERCISE - Splitting a Variable into Multiple Dummy Variables Lecture 422 SOLUTION - Splitting a Variable into Multiple Dummy Variables Lecture 423 How to Drop a Dummy Variable from the Data Set Lecture 424 A Statistical Perspective on Dummy Variables Lecture 425 Categorizing the Various Reasons for Absence Lecture 426 Concatenation in Python Lecture 427 EXERCISE - Concatenation in Python Lecture 428 SOLUTION - Concatenation in Python Lecture 429 How to Reorder Columns in a DataFrame in Python Lecture 430 EXERCISE - How to Reorder Columns in a DataFrame in Python Lecture 431 SOLUTION - How to Reorder Columns in a DataFrame in Python Lecture 432 Using Checkpoints to Ease Your Work in Jupyter Lecture 433 EXERCISE - Using Checkpoints to Ease Your Work in Jupyter Lecture 434 SOLUTION - Using Checkpoints to Ease Your Work in Jupyter Lecture 435 Analyzing the "Date" Column Lecture 436 Retrieving the Month Value From the "Date" Column Lecture 437 Adding the "Day of the Week" Column Lecture 438 EXERCISE - Dropping Columns Lecture 439 Analysis of the Next 5 Columns in DF Lecture 440 Dealing with More Numerical Features which may Behave like Categorical Ones Lecture 441 A Final Note on this Section Section 51: Integration - Integrating Python and SQL Lecture 442 How to Use the 'absenteeism_module' in Python - Part I Lecture 443 How to Use the 'absenteeism_module' in Python - Part II Lecture 444 Creating the 'predicted_outputs' Database in MySQL Lecture 445 Importing 'pymysql' in Python Lecture 446 Creating a Connection and Cursor Lecture 447 EXERCISE - Creating 'df_new_obs' Lecture 448 Creating the 'predicted_outputs' Table in MySQL Lecture 449 Executing and SQL SELECT Statement from Python Lecture 450 Sending Data from Jupyter to Workbench - Part I Lecture 451 Sending Data from Jupyter to Workbench - Part II Lecture 452 Sending Data from Jupyter to Workbench - Part III Section 52: Integration - Using Tableau to Analyze the Predicted Outputs Lecture 453 EXERCISE - Age vs Probability Lecture 454 Using Tableau to Analyze Age vs Probability Lecture 455 EXERCISE - Reasons vs Probability Lecture 456 Using Tableau to Analyze Reasons vs Probability Lecture 457 EXERCISE - Transportation Expense vs Probability Lecture 458 Using Tableau to Analyze Transportation Expense vs Probability Lecture 459 Completing 100% Beginners to programming and data science,Students eager to learn about job opportunities in the field of data science,Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment,SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks,People interested in a Business Intelligence Analyst career Screenshots

Last updated 1/2019 Created by kazuyuki goto MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 99 Lectures ( 5h 7m ) | Size: 3 GB You will learn how to hold a basic conversation and express your feelings. What you'll learn: Learn words and idioms (1210 words) Experience and understand the differences in English and Japanese grammar Communicate using short phrases Learn the pronunciation and the meaning of commonly used Kanji Improve your JLPT（Japanese Language Proficiency Test）N4/N5 level score Requirements: This course is not suitable for you if you have never studied Japanese before. You will need to at least mastered Hiragana. Description: When you were a baby, did you study grammar to learn how to speak?I'm sure none of us did.There's only one way babies learn, and that is through repeating what others say.In this course, there will be 136 interesting personality.They will speak a total of 1000 sentences using short dialogues.All you need to do is to repeat what they say.But with passion.Learning Japanese does not simply come from listening to it.Please keep listening to it repeatedly and recite what the characters are saying.I have made the lessons interesting so you will not get tired of them.Don't try and learn the grammar theoretically. Learn it through practice.If you don't understand grammar, you can learn the phrase itself.This course is not just about watching or listening to the videos.Please utilize the Q & A format like a chat room, and communicate with others using Japanese.Fortunately, this course is full of people from all over the world who are keen to learn Japanese.I will advise in the comment section if I notice any strange wording.Let's learn together.This course consists of 5 hours of video lessons.Section 3＜vocabulary Lv1~25＞ can be downloaded.You can listen to these in the background when you are unable to watch the video lessons.When there are Kanji in the conversation, the meaning of the Kanji and the pronunciation will both be written to help you understand. Who this course is for: Want to enjoy learning Japanese Want to learn Japanese in a practical way Want to learn phrases that can be put into practice straight away Want to be able to hold basic conversations in Japanese Are preparing to sit the Japanese Language Proficiency Test level N4/N5 Homepage

Published 8/2024 Created by Mywebstudies .com MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 463 Lectures ( 38h 21m ) | Size: 20.4 GB Master in Business Coaching: Productivity, Leadership, Stress, Anxiety, Public Speaking What you'll learn: The Master in Business and Coaching consists of Increasing Labor Productivity Course: The main objective of the course is to teach you effective strategies and techniques to increase your productivity in the Leadership Coaching Course. For managers, leaders, team leaders Stress and Anxiety Management Coaching Course Public Speaking Techniques and Skills for Public Speaking Course Requirements: Time Available: You must be willing to dedicate time to the course and complete the assigned tasks. The amount of time required may vary depending on the length and complexity of the course. Description: Mywebstudies offers this Integral Coaching Master consisting of the following courses:Productivity at Work.  Increase time efficiencyLeadership Coaching. For managers, leaders, team leadersCoaching stress and anxiety managementPublic speaking. Public speaking techniques and skillsThe Master in Integral Coaching is a complete program designed to enhance your personal and professional transformation. Throughout this master's program, you will acquire a deep knowledge and mastery of the tools and techniques of coaching, addressing key areas such as business creation, business coaching, life coaching and nutrition coaching.During the program, you will learn to develop leadership, effective communication, time management, decision making and problem solving skills. You will learn to identify and leverage your strengths, overcome your limitations and achieve your goals effectively.This master's degree will provide you with an integral vision of coaching, giving you the necessary tools to guide others in their process of change and personal growth. You will learn to establish trusting and empathetic relationships with your clients, helping them to discover and tap into their full potential.During the exciting Business and Executive Coaching course, you will explore the fundamental tools and strategies for developing leadership skills, making effective decisions and driving business growth. This program will provide you with the competencies necessary to guide individuals and teams toward achieving their goals and unleashing their full potential. Get ready to acquire a deep insight into business management and organizational dynamics, all enriched by the powerful practice of executive coaching. Details of each course that makes up the Master: In this Workplace Productivity course, you will learn how to increase your work efficiency, develop leadership skills, enhance your creativity, manage your emotions, and optimize the use of digital tools, allowing you to achieve your work goals and improve your quality of life.In this comprehensive Leadership Coaching course, participants will gain an in-depth understanding of the fundamental principles of effective leadership and learn how to apply coaching techniques to boost their personal and professional development, from identifying realistic goals to strengthening communication, team management and conflict resolution, all backed by a solid foundation of emotional intelligence; enabling them to not only achieve their leadership goals, but also inspire and guide their teams to success in an ever-changing work environment.In this "Stress and Anxiety Management Coaching" course, you will learn to gain an in-depth understanding of stress and anxiety, their effects on mental and physical health, and develop the skills necessary to help others manage these situations effectively. You will learn coaching techniques and strategies that will enable you to identify the causes of stress, design personalized action plans, apply relaxation exercises and promote emotional well-being. This knowledge will enable you to provide valuable support to those facing stress and anxiety in their lives, either as a professional coach or for your own benefit and that of your loved ones.In this comprehensive Public Speaking course, you will learn the fundamental skills and techniques to become an effective and confident public speaker. From how to structure an impactful speech to the strategic use of stories and emotions to connect with your audience, this program will equip you with the tools you need to express yourself with clarity and conviction. You'll master the preparation and delivery of persuasive presentations in a variety of contexts, acquiring advanced skills such as handling challenging questions and the ability to influence effectively. You will also explore the use of modern tools, such as PowerPoint and videos, to enhance your presentations and learn how to adapt your speech to different types of audiences and situations. By the end of this course, you will feel empowered to communicate your ideas in an impactful and confident manner in any environment.We look forward to seeing you at Mywebstudies Who this course is for: Professionals in the Workplace: This course is suitable for professionals from all industries and experience levels who want to increase their productivity, develop leadership skills and improve their well-being at work. Students: Undergraduate or graduate students who wish to acquire skills and knowledge that will help them in their future work career, as well as in their academic life. Entrepreneurs and Business Owners: Those who are starting their own business or company can benefit from learning how to manage their time, lead teams and promote their personal brand. Job Seekers: Job seekers can improve their employability by acquiring communication, emotional intelligence and productivity skills that are valued by employers. Leaders and Managers: Managers and business leaders can improve their leadership, communication and stress management skills to effectively lead teams and foster a productive work environment. Any Interested Individual: Anyone interested in improving their quality of life, balancing work and personal life, and acquiring practical skills to be more productive in their daily lives. Homepage

Published 8/2024 Created by Christ Raharja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 19m ) | Size: 1.23 GB Build 3D virtual store, write product description, design product packaging, conduct product and market research with AI What you'll learn: Learn how to write product description, FAQ, and return policy using Embolden and Copy AI Learn how to build online store using Hocoos, Wix, and 10Web Learn how to build 3D virtual store using Shopify and Odyssey Learn how to create marketing videos using Creatify AI, Oxolo, and Glato AI Learn how to create captivating product images using Flair AI and Blend Learn how to design product packaging using Spring Sourceful and Packify AI Learn how to write compelling ad copies using Copy Genius IO Learn how to build customer support chatbot using Best Chat Learn how to build product recommendation chatbot using Browse Buddy AI Learn about AI applications in E-commerce & retail business Learn how to conduct product and market research using Perplexity AI Learn how to analyze sales report using Julius AI Requirements: No previous experience in generative AI is required Basic knowledge in E-Commerce and digital marketing Description: Welcome to Generative AI for E-commerce & Retail Business course. This is a comprehensive project based course where you will learn how to leverage AI to grow your e-commerce business to the next level. You'll explore how AI can optimize various aspects of your operations, streamline processes, and enhance customer interactions. By focusing on areas such as improving product recommendations, automating marketing efforts, creating attractive product visuals, and developing advanced customer support systems, you'll discover how AI can potentially increase revenue, expand your reach, and drive significant business growth. Selecting the right AI tools for each purpose will help you to unlock AI full potential, boosting efficiency and achieving success in your e-commerce and retail business. In the introduction session, you will learn about AI applications in E-commerce and retail industries, for example, how AI can be used for conducting market research, automating the creation of e-commerce websites, optimizing product recommendations, and elevating both marketing strategies and customer support. Then, in the next section, we will start our learning journey. In the first section, we will learn how to build an online store using AI. The objective is to create essential infrastructures for your e-commerce business. In the second section, we will learn how to generate product descriptions using AI, in addition, you will also learn to craft compelling content that effectively communicates the value of your products. In the third section, we will learn how to create captivating product images using AI, the objectives are to enhance visual appeal and attract customers. In the fourth section, we will learn how to design product packaging using AI, ensuring your products stand out and align with your brand's identity. In the fifth section, we will learn how to create high quality marketing videos and ad copy using AI, the objectives are to boost customer engagement and convey key marketing messages. In the sixth section, we will build customer support and product recommendation chatbots using AI. The objectives are to provide personalized assistance and improve customer satisfaction. In the seventh section, we will conduct product and market research using AI, the objective is to gain insights into market trends and consumer behavior. In the eighth section, we will learn how to build a 3D virtual store, this will offer an immersive and interactive shopping experience. In the last section, we will analyze sales reports using AI, the objective to refine business strategies and make data-driven decisions for optimal growth.First of all, before getting into the course, we need to ask ourselves this question. Why should we learn to integrate generative AI to E-commerce business ? Well, here is my answer, the main key to growing a successful e-commerce business is to fully understand your customer needs and implement the right marketing strategies. Generative AI can revolutionize your approach by enabling better decision-making and data-driven business strategies. Building an e-commerce business can be quite challenging for new entrepreneurs due to the lack of experience. However, there is good news, nowadays, you can utilize many AI tools to simplify these processes, which allows you to save time, enhance operational efficiency, and concentrate on strategies that drive growth and innovation.Below are things that you can expect to learn from this course:Learn about AI applications in E-commerce & retail businessLearn how to write product description, product FAQ, and return policy using Embolden and Copy AILearn how to build online store using Hocoos, Wix, and 10WebLearn how to create captivating product images using Flair AI and BlendLearn how to design product packaging using Spring Sourceful and Packify AILearn how to create marketing videos using Creatify AI, Oxolo, and Glato AILearn how to write compelling ad copies using Copy Genius IOLearn how to build 3D virtual store using Shopify and OdysseyLearn how to build customer support chatbot using Best ChatLearn how to build product recommendation chatbot using Browse Buddy AILearn how to conduct product and market research using Perplexity AILearn how to analyze sales report using Julius AI Who this course is for: People who are interested in leveraging generative AI for their E-Commerce business People who are interested in creating marketing videos and writing ad copies using AI Homepage

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.64 GB | Duration: 0h 39m Holistic Homeopathy for Pets: Remedies, Diet, and Integrative Care for Optimal Feline and Canine Health What you'll learn Understand fundamental principles of homeopathy and its applications for cats and dogs. Identify and administer appropriate homeopathic remedies for common pet health issues. Integrate homeopathic treatments with conventional veterinary care for holistic pet health. Develop a comprehensive homeopathic first aid kit and manage pet health emergencies. Requirements Basic understanding of animal anatomy and physiology. Familiarity with common health issues in cats and dogs. Interest in holistic and alternative veterinary care. Access to a reliable source for purchasing homeopathic remedies. Description Are you a pet owner or veterinary professional seeking a natural approach to your pets' health? "Homeopathic Care for Cats and Dogs" is a comprehensive course designed to equip you with the knowledge and skills needed to effectively use homeopathic remedies to promote your pets' well-being.This course begins with an introduction to the principles of homeopathy, providing a historical context and comparing it to conventional veterinary medicine. You'll learn about the fundamental concepts of homeopathic remedies, including preparation, potency, and safety, ensuring you can confidently choose and administer treatments.We delve into common health issues in cats and dogs, covering skin conditions, digestive issues, respiratory problems, and behavioral concerns. Detailed case studies illustrate the practical applications of homeopathy, showing successful treatment plans and outcomes. You'll also explore advanced topics such as constitutional remedies, managing acute vs. chronic conditions, understanding miasms, and the use of nosodes and isopathy.Building a holistic care plan is a key focus, with sections on diet and nutrition, exercise and environment, and mental and emotional well-being. You'll learn how to create a homeopathic first aid kit and follow emergency protocols.The course includes resources for further learning, with recommended books, journals, online courses, workshops, and professional organizations. By the end of this course, you'll be able to integrate homeopathic treatments with conventional veterinary care, providing comprehensive, holistic health support for your pets. Whether you're a beginner or have some experience in homeopathy, this course offers valuable insights and practical knowledge to enhance your pets' health and happiness. Overview Section 1: Introduction to Homeopathy Lecture 1 Introduction to Homeopathy Section 2: Fundamentals of Homeopathic Care for Pets Lecture 2 Fundamentals of Homeopathic Care for Pets Section 3: Understanding Your Pet's Health Lecture 3 Understanding Your Pet's Health Section 4: Homeopathic Remedies for Common Conditions Lecture 4 Homeopathic Remedies for Common Conditions Section 5: Case Studies and Practical Applications Lecture 5 Case Studies and Practical Applications Section 6: Advanced Topics in Homeopathic Care Lecture 6 Advanced Topics in Homeopathic Care Section 7: Creating a Homeopathic First Aid Kit Lecture 7 Creating a Homeopathic First Aid Kit Section 8: Final Exam Section 9: Short Answer Questions Lecture 8 Explain the concept of a constitutional remedy. This course is designed for pet owners, animal caregivers, and veterinary professionals interested in exploring homeopathic care for cats and dogs. Ideal for those seeking natural and holistic approaches to pet health, it caters to both beginners and those with some experience in homeopathy. Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.54 GB | Duration: 1h 40m Understand, connect, and build a meaningful relationship with your spiritual guides What you'll learn Understand Spiritual Guides: Gain a clear understanding of what spiritual guides are, the different types, and their roles in our lives. Prepare for Communication: Learn how to prepare yourself mentally, emotionally, and spiritually for effective communication with your guides. Develop Techniques: Master various techniques such as meditation, mindfulness, automatic writing, and using divination tools to establish a connection with your Interpret Messages: Learn to recognize, interpret, and trust the messages and signs you receive from your guides. Build a Relationship: Develop and maintain a strong, ongoing relationship with your spiritual guides, integrating their guidance into your daily life. Overcome Challenges: Address common obstacles in spiritual communication and learn how to overcome them effectively. Apply Guidance: Understand how to use the guidance from your spiritual guides to make informed decisions and lead a spiritually guided life. Requirements An open mind and willingness to explore and engage with spiritual concepts and practices. Some familiarity with meditation or mindfulness practices can be beneficial but is not mandatory. A quiet, comfortable space where you can practice the guided meditations and exercises without interruptions. A journal or notebook for recording insights, messages, and reflections. Optional: Crystals, incense, or other spiritual tools you feel drawn to use. A commitment to regularly practicing the techniques and exercises provided in the course to develop and strengthen your connection with your spiritual guides. Reliable internet access to view course materials, videos, and participate in any online discussions or communities associated with the course. Description Welcome to "Communicate with Your Spiritual Guides"! We are delighted to have you join us on this transformative journey of spiritual exploration and personal growth.This course is designed to help you connect deeply with your spiritual guides, unlocking the wisdom and guidance that is available to you. Whether you are new to spiritual practices or have years of experience, this course offers valuable insights, techniques, and exercises to enhance your connection with your guides.What to Expect:Throughout this course, you will be introduced to a variety of practices and concepts aimed at strengthening your spiritual communication. From understanding the different types of spiritual guides to learning how to set intentions, create sacred spaces, and practice guided meditations, each module is crafted to support you in your journey.Our Approach:We believe that spiritual growth is a deeply personal and unique journey. This course is structured to provide you with the tools and knowledge you need, but it also encourages you to explore and adapt the practices to fit your spiritual path. Your intuition and personal experiences are your best guides, and we encourage you to trust and honor them throughout this course.Why This Course?Deepen Your Connection: Learn how to create a strong, lasting bond with your spiritual guides, enhancing your ability to receive clear and meaningful guidance.Enhance Your Intuition: Develop and strengthen your intuitive abilities, learning to trust and differentiate between your intuition and imagination.Practical Techniques: Gain access to a range of practical techniques, from guided meditations to automatic writing, to facilitate your communication with your guides.Supportive Community: Join a community of like-minded individuals who are also on their spiritual journey. Share experiences, and insights, and support each other in a safe and nurturing environment.Commitment to Your Journey:To get the most out of this course, we recommend dedicating regular time to practice the techniques and engage with the course materials. Consistency is key to developing a strong connection with your spiritual guides. Whether it's daily meditations, journaling, or simply setting aside time for reflection, your commitment will greatly enhance your experience and progress.Creating Your Sacred Space:One of the first steps in this journey is to create a sacred space where you can practice without interruptions. This space should feel comfortable and peaceful, a place where you can relax and open up to spiritual communication. Feel free to personalize it with items that resonate with you, such as crystals, candles, or incense.Your Guides Are Ready:Your spiritual guides are always ready to support and communicate with you. This course will help you become more attuned to their presence and messages. Trust that you are on the right path, and remember that every step you take, no matter how small, is a step towards deeper understanding and connection.Final Thoughts:We are honored to be part of your spiritual journey and excited to see the growth and insights you will gain. Remember, this is a personal journey, and there is no right or wrong way to explore these practices. Be patient with yourself, stay open to the experiences, and most importantly, enjoy the process.Thank you for choosing this course. We look forward to supporting you every step of the way.With love and light, Beti. Overview Section 1: Introduction Lecture 1 Introduction to the Course and Its Objectives Lecture 2 Disclaimer Lecture 3 What are spiritual guides? Different types of guides Lecture 4 The significance of spiritual guides in your life Lecture 5 Resources for this lecture Section 2: What is Spiritual Communication? Lecture 6 Common Misconceptions and Myths Lecture 7 Benefits of Communicating with Spiritual Guides Section 3: Setting Intentions and Creating a Sacred Space Lecture 8 Setting Intentions Lecture 9 The Importance of Grounding and Protection Section 4: guided meditation to help you connect with your spiritual guides Lecture 10 guided meditation to help you connect with your spiritual guides Section 5: Integrating Guidance into Daily Life Lecture 11 Daily practices to enhance connection Lecture 12 Understanding and Trusting Your Intuition Section 6: Techniques for Connecting with Your Guides Lecture 13 How Guides Communicate Through Signs and Symbols Lecture 14 Connecting with Guides Through Dreams Lecture 15 Using divination tools like tarot, oracle cards, and pendulums Section 7: Building and Deepening Relationships Lecture 16 Creating a Routine for Regular Check-Ins Lecture 17 Common Obstacles in Spiritual Communication Lecture 18 Using Spiritual Guidance in Everyday Decisions Lecture 19 Making Life Choices Aligned with Spiritual Guidance Section 8: Conclusion and Next Steps Lecture 20 Course Review and Key Takeaways Lecture 21 Recommended Books, Courses, and Resources Lecture 22 Certificate Lecture 23 Final Thoughts Spiritual Seekers: Individuals who are exploring their spiritual path and wish to deepen their connection with their spiritual guides.,Beginners in Spiritual Practices: Those new to spirituality and looking for guidance on how to communicate with spiritual entities and develop their intuitive abilities.,Experienced Practitioners: People who already have a spiritual practice but want to enhance their skills in connecting with and receiving messages from spiritual guides.,Meditation Enthusiasts: Individuals who enjoy meditation and want to incorporate spiritual guide communication into their practice.,Holistic Healers and Therapists: Professionals in the holistic health and wellness field looking to integrate spiritual guide communication techniques into their practices to better support their clients.,Anyone Seeking Guidance: Individuals looking for clarity, direction, and support in their personal and professional lives by connecting with their spiritual guides. 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Published 8/2024 Created by RL Wong MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 34 Lectures ( 1h 20m ) | Size: 1.3 GB A Step-by-step Piano Tutorial on the complete version of Fur Elise by Beethoven: For Piano or Keyboard Beginners What you'll learn: Learn to Play Fur Elise by Beethoven on the Piano or Keyboard Learn the basics of playing piano How to play popular Classical Music pieces on the Piano How to include dynamics, and articulations in their piano performance Requirements: A piano or keyboard to follow the lesson Description: Dive into the World of Classical Piano through this course!Welcome to this course where you'll learn beautiful and popular Classical Music suitable for beginners on the piano or keyboard. This course is written for piano beginners in mind, who wants to enhance their repertoire list. If this is your goal, here's the perfect course that will offer you a comprehensive step-by-step guide to mastering a beloved classical piece on the piano or keyboard.Fur Elise by Beethoven is one of the most popular classical piece. It's also one of the most requested piece to learn by my beginner students.However, a look at the score seems so daunting, but really, is it that hard?In this piano tutorial, I'll show you how to play Fur Elise by Beethoven, even if you are a beginner. Throughout this course, I will guide you through each segment of the piece. We will start by learning each hand separately, gradually building proficiency before integrating both hands seamlessly.This course is designed with the novice pianist in mind, requiring no prior musical knowledge. I will introduce essential music theory concepts in a clear and accessible manner, ensuring you grasp the foundations necessary for playing this piece and beyond.About your instructorHi, I'm RL Wong your instructor, and I have been playing the piano for more than 2 decades, and have taught many students how to play the piano. My passion lies in demystifying classical music and making it accessible to everyone, regardless of their starting point.So, if your aspiration this year is to master a classical music masterpiece on the piano, look no further. Enroll now and join me in unraveling the beauty and intricacy of this timeless art form. Let's embark on this musical journey together!Hope to see you inside the course! Who this course is for: Anyone who is interested to play Fur Elise by Beethoven on the piano or keyboard Piano Beginners who want to get started playing Classical Music on the piano or keyboard Homepage

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 16.44 GB | Duration: 21h 47m Selenium 4 Tutorials with C# (Sharp) - Covers all major features and live projects with end to end framework designing What you'll learn By the End of the course you will be as much trained to automate any web based application using Selenium You will be working on many Live projects, Design complex frameworks and Design interactive Reports using Extent Reports etc By the End of the course you should be able to Master Selenium Automation & crack any interview You should be easily able to justify 2-3 years of your existing experience in Selenium Requirements No prior C# / coding knowledge required as everything is taught from the scratch Description BIGGEST EVER SELENIUM with C# (Sharp) Course in the Industry with many live projects and End to End Automation frameworks coveredAfter successfully launching my Selenium with JAVA (140+ hours of course), Selenium with Python, Automation Architect, Playwright and many other automation courses here I bring you the latest course on C# Automation which will not only help you in building the strong C# programming base but will also help you in working with various frameworks, live projects and crack Selenium C# automation interviewsOne of the BIGGEST Selenium C# Automation course in the Industry to cover in depth topics on Selenium Automation, various locator strategies to complex and dynamic elements using XPATHs, CSS and other Relative Locators. Covers CDP Features which no other C# course is covering at the moment. End to End frameworks using various design patterns, Keyword driven, Data Driven (Hybrid), Page Object Model and many LIVE projects coveredYou will get in-depth knowledge on C# Programming that covers basic if, else, loops arrays, basic OOPS - inheritance, polymorphism, interfaces, abstract classes, Collections and many more topics related to C# i.e. File Handling, Log4Net, MAIL API, Interactive report generation using Extent Reports, Parallel Test Execution, NUnit Framework etcAfter Doing this course you will be:· EXPERT IN C# Basic Programming Concepts· EXPERT IN Automating any website in the world using latest Selenium version· EXPERT IN working with various frameworks / design patterns on Live projects· CRACK any Selenium C# Automation interviews easilyNot only this you will also get my complete and immediate support in all your queries during the course Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Installing Visual studio and getting started with C sharp basics Lecture 3 Configuring Selenium, Adding NuGet package Lecture 4 Download the Code Section 2: C Sharp Programming Lecture 5 C Sharp Basics - Data Types and Variables Lecture 6 C Sharp Basics - Classes and Objects Lecture 7 C Sharp Basics - String, Operators, Concatenation etc Lecture 8 C Sharp Basics - Arithmetic Operators Lecture 9 C Sharp Basics - Operators - Comparison Operator Lecture 10 C Sharp Basics - Operators - Logical or Conditional Operators Lecture 11 C Sharp Basics - Operators - Assignment Operators Lecture 12 C Sharp Basics - Operators - Increment and Decrement Operators Lecture 13 C Sharp Basics - Naming Conventions Lecture 14 C Sharp Basics - Control Flow Statements - IfElse Lecture 15 C Sharp Basics - Control Flow Statements - Switch Case Lecture 16 C Sharp Basics - Control Flow Statements - While Loop Lecture 17 C Sharp Basics - Control Flow Statements - DoWhile Loop Lecture 18 C Sharp Basics - Control Flow Statements - ForLoop Lecture 19 C Sharp Basics - Control Flow Statements - Nested Loops Lecture 20 C Sharp Basics - Jump Statements - Break and Continue Lecture 21 C Sharp Basics -Arrays 1D Lecture 22 C Sharp Basics -Arrays 2D Lecture 23 C Sharp Basics -Arrays 3D Lecture 24 C Sharp Basics - Methods Lecture 25 C Sharp Basics -Methods with Return Type Lecture 26 C Sharp Basics -Call By Value vs Call By Reference Lecture 27 C Sharp Basics - Variable Types and their Scope Lecture 28 C Sharp Basics - Const vs ReadOnly variable types and Parameter variables Lecture 29 C Sharp Basics - Namespaces Lecture 30 C Sharp Basics - Access Modifiers Lecture 31 OOPS - Inheritance Lecture 32 OOPS - Constructors Lecture 33 OOPS - Polymorphism - Overloading Lecture 34 OOPS - Polymorphism - Overriding Lecture 35 OOPS - Polymorphism - Overriding - Part2 Lecture 36 OOPS - Abstract Method and Class Lecture 37 OOPS - Interfaces Lecture 38 Collections - List Lecture 39 Collections - HashSet Lecture 40 Collections - Dictionary Lecture 41 Exception Handling Section 3: Selenium Automation - Basic Element Handling concepts Lecture 42 Launching Browsers Lecture 43 Handling Elements - Automating Login Window Lecture 44 Handling Elements - Automating Login Window - Part 2 Lecture 45 Handling Elements - Syncronisation issues - ImplicitWait Lecture 46 Handling Elements - Syncronisation issues - ExplicitWait Lecture 47 Handling Elements - Syncronisation issues - FluentWait or DefaultWait Lecture 48 Handling Dropdowns Lecture 49 Handling Links Section 4: SELENIUM - Alerts, Popups, IFrames Handling Lecture 50 Handling Alerts Lecture 51 Handling Frames Lecture 52 Handling Tabs and Popups Section 5: SELENIUM - Actions API Lecture 53 Actions API - MouseMovement Lecture 54 Actions API - Handling Slider Lecture 55 Actions API - Handling Resizable Elements Lecture 56 Actions API - Drag and Drop Lecture 57 Actions API - Right Click Section 6: JavascriptExecutor, Screenshots, ChromeOptions etc Lecture 58 Executing Javascript Lecture 59 Capturing Screenshots Lecture 60 Checking Element Presence Lecture 61 Chrome Options Section 7: Selenium 4 and CDP Features Lecture 62 New Tab and Windows Lecture 63 Relative Locators Lecture 64 CDP Feature - Handle SSL Errors Lecture 65 CDP Feature - Override GEO Location Lecture 66 CDP Feature - Override Device Metrics Lecture 67 CDP Feature - Blocking Network request Lecture 68 CDP Feature - Handling Basic Authentication Section 8: Utilities Lecture 69 Reading JSON Files Lecture 70 Reading XML Files Lecture 71 Keyword Driven Approach Lecture 72 Log4Net API Lecture 73 MAIL API Lecture 74 Database connectivity Section 9: NUnit Framework and Extent Reports Lecture 75 Configuring NUnit and Executing very first test case Lecture 76 Test Fixtures, Order and Category Lecture 77 Assertions and Multiple Assertions Lecture 78 Onetime Setup and TearDown Lecture 79 Test Parameterization Lecture 80 DataDriven Test with Excel Integration Lecture 81 Getting started with Extent Reports Lecture 82 Customizing the Report Lecture 83 Reporting Test Results Lecture 84 More Customization Lecture 85 Parallel Testing Lecture 86 Parallel Testing with WebDriver Integration Lecture 87 Supporting MultiThreading issues using ThreadLocal Section 10: Selenium GRID Lecture 88 Introduction to Selenium Grid 4 Lecture 89 Parallel Test Execution on Multiple browsers Lecture 90 Hub and Nodes configuration Lecture 91 Distributed Mode Section 11: LIVE PROJECT 1 - Data Driven Framework Lecture 92 Defining the Framework architecture and adding dependencies Lecture 93 Creating the BaseTest class Lecture 94 Adding more items to the Base class Lecture 95 Adding Screenshots and Keywords Lecture 96 Creating the very first test case Lecture 97 Fixing the screen capture issues Lecture 98 Creating the Select keyword Lecture 99 Creating More test cases Lecture 100 Adding More Test cases Lecture 101 Running the test from CLI Lecture 102 Running the test from Jenkins CI tool Section 12: LIVE PROJECT 2 - Page Object Model Framework Lecture 103 Introduction to Page Object Model framework Lecture 104 Start designing the Page Objects Lecture 105 Implementing Method Chaining Lecture 106 Implementing Keywords and Parameterization Lecture 107 Verify Multiple set of test data in a Single test Lecture 108 Adding Assertions Lecture 109 Adding the Second TestCase Section 13: COMPLETE CODE Lecture 110 Download the complete code used in all lectures Section 14: BONUS Lecture 111 BONUS LECTURE The course is designed in a such a way that even a beginner with zero knowledge in Manual testing or Automation or programming can master this course,Complete C# required for Selenium Automation is covered from scratch Screenshots [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content]

Released 7/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English + srt | Duration: 44m | Size: 149 MB One of the biggest changes in the professional landscape in recent years has been the prevalence of video meetings. Not so long ago they were something of a novelty, but very quickly became a necessity. And while you may have now attended thousands of Zoom meetings, do you know how to run a professional-looking meeting yourself? It involves a lot more than turning on your camera (and remembering to unmute) and presenting some slides. In this course, Patrick Kelley shows you how to set up and manage large-scale webinars and events using Zoom. Patrick shows you how to set up and configure Zoom and properly configure your hardware. Learn how to manage guest access, security, and privacy. Discover some advanced webinar tips and tricks like setting up breakout rooms and generating webinar reports. And get best practices for making your video and audio shine. Homepage [Hidden Content]

Last updated 9/2023 Duration: 7h45m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 2.04 GB Genre: eLearning | Language: English Learn R Programming Fundamentals, Data Wrangling, Data Visualization for Data Science What you'll learn Fundamentals of R Programming Work with RStudio Use Vectors, Matrices, Lists, Data Frames Importing and Handling Large CSV files Data in R Import packages in R & use dplyr Package for Data Wrangling Create Data Visualization in R Using R for Basic Statistical Data Analysis Requirements No prior knowledge or technical backgrounds is required Description Welcome to this course of R Programming for Beginners with the hands-on tutorial, and become an R Professional which is one of the most favoured skills, that employer's need. Whether you are new to programming or have never programmed before in R Language, this course is for you! This course covers the R Programming from scratch. This course is self-paced . There is no need to rush - you learn on your own schedule. R programming language iѕ one of the best open-source programming language and more powerful than other programming languages. It iѕ well documented and has a clean syntax and quite еаѕу tо lеаrn. This course will help anyone who wants to start a саrееr in Data Science and Machine Lеаrning. You need to have basic undеrѕtаnding оf R Programming to become a Data Scientist or Data Analyst . This course begins with the introduction to R course that will help you write R code in no time. Then we help you with the installation of R and RStudio on your computer and setting up the programming environment. This course will provide you with everything you need to know about the basics of R Programming. In this course we will cover the following topics Basics of R Programming including Operators Fundamentals of R Programming Vectors, Matrices, Lists Data Frames Importing Data in Data Frames using Text and CSV files Data Wrangling using dplyr package Data Visualization This course teaches R Programming in a practical manner with hands-on experience with coding screen-cast. Once you complete this course, you will be able to create or develop R Programs to solve any complex problems with ease. Who this course is for Beginner who wants to learn R Programming Homepage Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.37 GB | Duration: 1h 53m Say "Goodbye!" to spreadsheet errors and confusion with the help of this special laser-focused course! What you'll learn You will understand high-level objectives of using project finance debt ratios Understand difference between 'descriptive' and 'prescriptive' ratio use Understand the different risk information communicated by ratios You will master the hardest ratio of them all - the LLCR! Requirements Some familiarity with project finance / non-recourse debt Description Project Finance models are among the most complicated spreadsheet models in the whole of finance.You have to deal with complexity on several fronts, and your prior experience outside of the field may have done little to prepare you for it.Most project finance courses will serve you the entire skillset and theory you need as a modeler, all at once. But for many analysts I have spoken to, that is simply too much information at once. And in a well-intentioned effort not to overload students, course-makers end up leaving out many significant details.This course takes a different approach.It gives you a narrow, laser-focused examination of issues that are central to any project finance deal:How much debt is going loaned to the company?How is it going to be paid back?Project finance models answer critical questions with mathematical procedures centred on project finance debt ratios.This course will look at all the project finance ratios, along with mathematical explanations about how, and why they work. (instead of asking you to just copy them and trust that they do.)You will finally gain clear-minded understanding, and be able to spot and avoid errors that trip other analysts up... and which may even be lurking in the model you have inherited.All this will help you work, faster, more confidently, with lower risk of error - a great reward for your investment. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 The 'Golden Rule' of Project Finance! Lecture 3 The big picture: what is it all about? Section 2: Descriptive use of debt ratios Lecture 4 CFADS Lecture 5 DSCR Lecture 6 The first LLCR Lecture 7 The first LLCR - in Excel Lecture 8 The rolling LLCR Lecture 9 The rolling LLCR - by backwards induction Lecture 10 Timing pitfalls to avoid using the LLCR Lecture 11 LLCR for break-even, and restructuring analysis Lecture 12 PLCR Lecture 13 Ratio math DEEP DIVE! Section 3: Prescriptive use of debt ratios for debt sizing and sculpting Lecture 14 Introduction to debt sizing Lecture 15 Sizing and sculpting with DSCR, under fixed payments Lecture 16 Introduction to sculpting Lecture 17 Sizing and sculpting with variable cashflows - NPV method Lecture 18 Sizing & sculpting with variable cashflows - by backwards induction Lecture 19 Key variable relationships for sizing and sculpting Lecture 20 Working with maximum leverage constraints Lecture 21 Rescaling of debt-service as stakeholder-neutral solution Lecture 22 BONUS LECTURE Junior analysts, associates, (and any seniors getting back into modelling work!) Screenshots

Last updated 2/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.96 GB | Duration: 5h 43m Learn Python Network Programming with Labs and Real Devices For Your Job and Exams DevNet Associate With Python Devasc What you'll learn You will learn how to program your network with Python. You will differentiate yourself from other network engineers with your newly gained programming skills. You will learn most used Python programs for your Network engineering career You will be able to add Python Network Programming to your CV. You will learn Python Fundamentals You will learn Python Data Structures You will learn Python Code Structures You will learn Object-Oriented Programming You will learn Functions, Classes, Attributes Requirements You will need a mid spec PC or Laptop to install Python and test the codes yourself. No previous coding experience is needed. No previous programming experience is needed. Description Hi there, I am Veyhurdam Dikmen. I am a double CCIE with 10 years of experience on Networking, Security and Programming Technologies.Are you struggling to learn Python Network Programming? This course will let you to use Python for your Network Programming Projects. You will be able to add Python Network Programming to your CV and learn niche skills that will make you unique as a Network Engineer.You will learn:-Zen of Python-Python For Network Engineers-How To Execute Python Code-How to Run Your First Python Code-Create A Python File and Execute It-Numbers and Strings in Python-Objects and Variables in Python-Comments in Python-Reading From and Writing To A File-How To Read From A File Lab-How To Write To A File Lab-Device Connections via Telnet and SSH-How to Connect via Telnet Lab-How to Connect via SSH Lab-Lists in Python-How to Create a List Lab-Dictionaries in Python-How to Create a Dictionary Lab-Tuples and Sets in Python-How to Create a Tuple Lab-How to Create a Set Lab-Comparisons in Python-Comparisons Lab-Regular Expressions Lab-Regular Expressions With Conditions Lab-If and Elif Statements Lab-Loops in Python Lab-For Loops Lab-While Loops Lab-Break and Continue in Python-Continue Statement Lab-Break Statement Lab-Connecting to a real device with While Loop and Continue and Break Statements-Functions in Python-Creating a Function Lab-Creating A Function With Parameters Lab-Create a function that connects to device and returns values-Writing Functions With Return Values and Using Session Objects-Classes in Python-Creating Your First Class-Creating A Class With An Initialization Method-Creating A Base Class With Child Classes-Creating A Base Class And Child Classes With Override-Child Classes-Modules and Packages in Python-Create Modules From Existing CodeThank You Overview Section 1: Course Introduction Lecture 1 PRNE Udemy Promo Video Section 2: Python Fundamentals Lecture 2 Zen of Python Lecture 3 Python For Network Engineers Lecture 4 How To Execute Python Code Lecture 5 Running Your First Python Code Lecture 6 Create A Python File and Execute It Lecture 7 Numbers and Strings in Python Lecture 8 Objects and Variables in Python Lecture 9 Comments in Python Section 3: Python Operations For Network Engineers Lecture 10 Reading From and Writing To A File Lecture 11 How To Read From A File Lecture 12 How To Write To A File Lecture 13 Device Connections via Telnet and SSH Lecture 14 How to Connect via Telnet Lab Lecture 15 How to Connect via SSH Lab Lecture 16 Lists in Python Lecture 17 How to Create a List Lab Lecture 18 Dictionaries in Python Lecture 19 How to Create a Dictionary Lab Lecture 20 Tuples and Sets in Python Lecture 21 How to Create a Tuple Lab Lecture 22 How to Create a Set Lab Lecture 23 Comparisons in Python Lecture 24 Comparisons Lab Lecture 25 Regular Expressions Lab Lecture 26 Regular Expressions With Conditions Lab Lecture 27 If and Elif Statements Lab Lecture 28 Loops in Python Lecture 29 For Loops Lab Lecture 30 While Loops Lab Lecture 31 Break and Continue in Python Lecture 32 Continue Statement Lab Lecture 33 Break Statement Lab Lecture 34 Connecting to a real device with While Loop and Continue and Break Statements Lecture 35 Functions in Python Lecture 36 Creating a Function Lab Lecture 37 Creating A Function With Parameters Lab Lecture 38 Create a function that connects to device and returns values Lecture 39 Writing Functions With Return Values and Using Session Objects Lecture 40 Classes in Python Lecture 41 Creating Your First Class Lecture 42 Creating A Class With An Initialization Method Lecture 43 Creating A Base Class With Child Classes Lecture 44 Creating A Base Class And Child Classes With Override Lecture 45 Child Classes Lecture 46 Modules and Packages in Python Lecture 47 Create Modules From Existing Code Lecture 48 Thank You Section 4: Bonus Lecture Lecture 49 Bonus Lecture Anyone who wants to learn Python Programming that is essential to your Network Engineering career.,This course is for beginners, newbies & amateurs who wants to start their Python Network Programming Journey.,This course is also a great helper for intermediate and advanced Networking Professionals who wants to enter Python Network Programming,Anyone who wants to add Python Network Programming to their CVs. 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Released: 07/2024 Duration: 52m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 116 MB Level: General | Genre: eLearning | Language: English Navigate inclusive financial planning with Allie Beckmann, RFA, who blends social justice insight with financial expertise. Discover how to build a financial services practice that emphasizes inclusivity and equity. Learn how to navigate financial equity and understanding diverse client needs. By the end of this course, you'll be able to provide actionable insights for offering financial solutions that respect and meet the unique needs of all clients. Homepage Screenshots

Released: 07/2024 Duration: 48m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 200 MB Level: Intermediate | Genre: eLearning | Language: English Creating real impact with AI means understanding what generative AI is capable of today-and using that knowledge to stay ahead of future developments. Regardless of your industry, role, and experience, AI can transform your personal and professional development. If you want to learn how to unlock your full potential with AI, this course is for you. In this course, AI thought leader, advisor, and investor Allie K. Miller provides her insights and guidance on how to thrive in the AI age. She shares real-world examples of generative AI tools in action, as well as her most-used framework to leverage AI to generate added value. Learn how to seamlessly integrate AI into your workflows, enhancing both individual and team productivity. Get the knowledge and tools to use AI for strategic planning, decision-making, and creative problem-solving. By adopting an AI-first mindset, you'll be better prepared to future-proof your career and lead AI-driven transformations within your organization. Homepage Screenshots

Last updated 7/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.73 GB | Duration: 15h 21m [2024] Ace your AWS Certified Machine Learning Specialty Exam [MLS-C01] | AWS Machine Learning Practice Test included What you'll learn 12 HOURS OF INSTRUCTOR-GUIDED LECTURES: Learn how to design, build, deploy, optimize, train, tune, and maintain ML solutions using AWS services PRACTICE EXAM: Exam-Difficulty practice exam included to test your progress and knowledge ACTIVE Q&A FORUM: Our discussion board provides a platform for students to ask questions, share their recent exam experiences, and offer feedback on exam topics RESPONSIVE SUPPORT: Our team of AWS experts respond to all of your questions, concerns or feedback ALWAYS UP TO DATE: Our teachings reflect the latest MLS-C01 exam. Students have lifetime access to all future updates PRESENTED IN A PROFESSIONAL WAY: Focused and to the point, clear language with professional subtitles THE ULTIMATE EXAM PREP: We'll teach you everything you need to know to ace your AWS certification exam Requirements This course is designed for individuals with a solid AWS knowledge and experience (at the Associate level) A free-tier AWS account is recommended to follow along with the practice labs - we'll show you step by step how to create one To assess your exam readiness, we highly recommend enrolling in the AWS Certified Machine Learning Specialty practice exam course by Neal Davis Description Are you ready to take your AWS Machine Learning knowledge to the next level and earn your AWS Certified Machine Learning Specialty certification? Then this AWS Machine Learning Specialty video course is for you! Designed for intermediate to advanced learners, this 12-hour training will equip you with the knowledge and confidence you need to succeed in your MLS-C01 exam.You will gain a deep level of knowledge and expertise in AWS Machine Learning with the help of:12 hours of comprehensive video lessonsDetailed presentations and diagramsResources available for download - including code and slidesA complimentary practice exam to test your knowledgeA supportive community of students and instructorsThis course is your key to acing the Certified Machine Learning Specialty exam! With our mixture of in-depth theory, architectural diagrams and hands-on training, you'll learn how to design, build, deploy, optimize, train, tune, and maintain ML solutions using AWS services. With this comprehensive Udemy AWS Machine Learning Specialty training, you have everything you need to comfortably pass the MLS-C01 certification exam.PREVIEW THIS COURSEWatch the intro video to find out why students choose Digital Cloud Training to prepare for their AWS exams.With our FREE previews you can see for yourself how we prepare you for the AWS Certified Machine Learning [MLS-C01] exam using guided AWS hands-on lessons. Check out the curriculum to see the vast amount of practical exercises combined with in-depth theoretical training.TOP REASONS WHY THIS ULTIMATE EXAM PREP IS YOUR BEST CHANCE TO ACE YOUR AWS EXAMTHE ULTIMATE EXAM PREP: We'll teach you everything you need to know (in theory and practice) to pass your exam on your first attemptGUIDED HANDS-ON LESSONS: The many hands-on lessons are backed by high-quality logical diagrams so you can visualize what you're buildingBONUS PRACTICE TEST: Our practice test is timed and scored mimicking the real exam environment so you get familiar with the real AWS exam format, style and difficultyDETAILED EXPLANATIONS: Every question includes deep-dive reference links and detailed explanations that describe why each answer is correct or incorrectHIGH-QUALITY VISUALS: We've spared no effort to create a highly visual training course with lots of tables and graphs to illustrate the conceptsPRESENTED IN A PROFESSIONAL WAY: Your instructors use clear and easy to understand language and present the material in a professional way - focused and to the point with professional subtitlesCERTIFICATE OF COMPLETION: Upon course completion, you get to download your Certificate of Completion issued by UdemyACCESS DIAGRAMS, CODE AND SLIDES: Diagrams, code and slides (optional, requires name/email) presented throughout the course are available for download in PDF formatRESPONSIVE SUPPORT: Our team of AWS experts comprehensively respond to all of your questions, concerns or feedbackACTIVE Q&A DISCUSSION BOARD: Join the discussion on AWS related topics in our discussion forum where our students share their recent exam experience offering feedback on which topics were coveredMOBILE ACCESS: Study on the go and access all resources from your mobile phone - anywhere, anytimeLIFETIME ACCESS: All students have lifetime access to all future updates of this courseYOUR INSTRUCTORSKARIM ELKOBROSSYAWS COMMUNITY BUILDER (ML), AWS CERTIFIED AND MACHINE LEARNING INSTRUCTOR & AUTHORHi, my name is Karim - I'll be your lead instructor for this AWS Certified Machine Learning Specialty training. I am an Electromechanical engineer with a passion for AI. Together with Neal, we created this comprehensive AWS training so that you get to ace your AWS Machine Learning exam and achieve your career goals. NEAL DAVISFOUNDER OF DIGITAL CLOUD TRAINING, AWS SOLUTION ARCHITECT, BEST-SELLING AUTHOR & IT INSTRUCTORHi, I'm Neal Davis, and I'm delighted to be your co-instructor for this course. As the founder of Digital Cloud Training, I'm deeply committed to providing top-quality AWS certification training resources. With over 20 years of hands-on experience in the Cloud space, I'm excited to share my expertise with you on Udemy.OUR SUCCESS IN NUMBERSOver 500,000 students enrolled in our AWS courses on Udemy4.7 Star instructor ratings from over 100,000 reviewsOur students pass the AWS exam with an average score of over 85%MONEY-BACK GUARANTEEWe are totally confident in the value of our AWS Machine Learning course which comes with a 30-day money-back guarantee (no questions asked). Fast-track your AWS exam success and get lifetime access now - risk-free!ENROLL NOWTake the first step towards advancing your cloud career and becoming AWS Certified Machine Learning Specialist!By enrolling in this video course, you will not only pass the AWS Certified Machine Learning Specialty exam but also deepen your understanding of Machine Learning. Enhance your knowledge and set yourself apart in the industry by taking this MLS-C01 exam preparation course. Overview Section 1: Let's Get Started! Lecture 1 How to Use this Course Lecture 2 The MLS-C01 Exam Lecture 3 Course Download Section 2: AWS Accounts and IAM Lecture 4 Introduction Lecture 5 AWS Account Overview Lecture 6 [HOL] Create Your AWS Free Tier Account Lecture 7 [HOL] Configure Account and Create a Billing Alarm Lecture 8 AWS IAM Overview Lecture 9 IAM Users, Groups, Roles and Policies Lecture 10 [HOL] Create IAM User Account Section 3: Compute, Storage, and Database Lecture 11 Introduction Lecture 12 Amazon Elastic Compute Cloud (EC2) Lecture 13 Amazon Elastic Container Service (ECS) Lecture 14 Amazon S3 Overview Lecture 15 IAM Policies, Bucket Policies and ACLs Lecture 16 Block vs File vs Object Storage Lecture 17 Amazon EBS Lecture 18 Amazon Elastic File System (EFS) Lecture 19 Amazon FSx Lecture 20 Amazon DynamoDB Lecture 21 Amazon Redshift Section 4: Data Engineering Lecture 22 Introduction Lecture 23 Amazon Kinesis Lecture 24 Amazon Kinesis Data Streams Lecture 25 [HOL] Create a Kinesis Data Stream Lecture 26 Amazon Kinesis Data Firehose Lecture 27 [HOL] Create a Kinesis Data Firehose Lecture 28 Kinesis Data Streams vs Firehose Lecture 29 Amazon Kinesis Data Analytics Lecture 30 Amazon Kinesis Video Streams Lecture 31 AWS Glue Lecture 32 [HOL] AWS Glue (crawler + transformation) Lecture 33 AWS Batch Lecture 34 AWS Database Migration Service (DMS) Lecture 35 AWS Step Functions Lecture 36 Exam cram Section 5: Exploratory Data Analysis Lecture 37 Introduction Lecture 38 Cross-Industry Standard Process for Data Mining (CRISP-DM) Lecture 39 Plots Lecture 40 Data types Lecture 41 Data distribution Lecture 42 Feature Engineering Lecture 43 Data transformation (Numbers-Categories) Lecture 44 Data transformation (Text-Images) Lecture 45 Imputation Techniques Lecture 46 Unbalanced data Lecture 47 Outliers Lecture 48 Amazon Sagemaker Ground Truth Lecture 49 [HOL] Create a labelling job Lecture 50 Amazon Quicksight Lecture 51 [HOL] Create an analysis using Quicksight Lecture 52 Amazon Athena Lecture 53 [HOL] Running SQL queries in Athena Lecture 54 Amazon Elastic Map Reduce (EMR) Lecture 55 Exam cram Section 6: Machine learning Lecture 56 Introduction Lecture 57 Machine Learning categories Lecture 58 Regression Lecture 59 Regression - Model evaluation Lecture 60 Classification Lecture 61 Classification - Model evaluation Lecture 62 Dimensionality Reduction Lecture 63 Deep Learning Lecture 64 Natural Language processing (NLP) Lecture 65 Computer Vision (CV) Lecture 66 Convolutional Neural Network (CNN) Lecture 67 Recurrent Neural Network Lecture 68 Advancements in NLP Lecture 69 Neural Network characteristics Lecture 70 Neural Networks' problems Lecture 71 Overfitting/Underfitting Lecture 72 Preventing overfitting Lecture 73 Validation techniques Lecture 74 Decision Trees Lecture 75 Ensemble learning Lecture 76 Exam cram Section 7: AI services Lecture 77 Introduction Lecture 78 AI services Lecture 79 Amazon Comprehend Lecture 80 [HOL] Customer's reviews sentiment analysis Lecture 81 Amazon Translate Lecture 82 Amazon Transcribe Lecture 83 Amazon Polly Lecture 84 Amazon Rekognition Lecture 85 [HOL] Amazon Rekognition Lecture 86 AWS Deeplens Lecture 87 AWS Panorama Lecture 88 Amazon Textract Lecture 89 Amazon Forecast Lecture 90 Amazon Lex Lecture 91 Amazon Fraud detector Lecture 92 Amazon Personalize Lecture 93 Amazon Kendra Lecture 94 [HOL] Amazon Kendra Lecture 95 Exam cram Section 8: Modelling Lecture 96 Introduction Lecture 97 Amazon SageMaker Lecture 98 [HOL] Amazon SageMaker Walkthrough Lecture 99 [HOL] Create an Amazon SageMaker Notebook instance Lecture 100 Built-in algorithms overview Lecture 101 Linear Learner Lecture 102 XGBoost Lecture 103 K-Nearest Neighbours Lecture 104 Factorization machines Lecture 105 DeepAR Lecture 106 Image classification Lecture 107 Object Detection Lecture 108 Semantic Segmentation Lecture 109 Seq2Seq Lecture 110 BLazingText Lecture 111 Neural Topic Model (NTM) Lecture 112 Latent Dirichlet Allocation (LDA) Lecture 113 Random Cut Forest (RCF) Lecture 114 K-means clustering Lecture 115 Hierarchical clustering Lecture 116 Object2Vec Lecture 117 Principal Component Analysis (PCA) Lecture 118 IP insights Lecture 119 Reinforcement learning Lecture 120 Built-in algorithms recap Lecture 121 SageMaker Data Wrangler Lecture 122 [HOL] SageMaker Data Wrangler Lecture 123 SageMaker Canvas Lecture 124 [HOL] SageMaker Canvas Lecture 125 Bias in Machine Learning Lecture 126 Amazon SageMaker Clarify Lecture 127 Amazon SageMaker Feature Store Lecture 128 Amazon SageMaker ML Lineage Tracking Lecture 129 Docker containers with Sagemaker Lecture 130 [HOL] XGBoost (Churn prediction) Lecture 131 Hugging Face with SageMaker Lecture 132 [HOL] Hugging Face with SageMaker Lecture 133 [HOL] Script mode Lecture 134 [HOL] Bring Your Own (BYO) Docker Lecture 135 Sagemaker Instance types Lecture 136 Hyperparameter tuning Lecture 137 [HOL] Hyperparameter tuning job Lecture 138 Distributed Training Lecture 139 Apache Spark with Sagemaker Lecture 140 Sagemaker Debugger Lecture 141 Sagemaker Autopilot Lecture 142 Exam cram Section 9: Deployment Lecture 143 Introduction Lecture 144 Online Inference (Real-time) Lecture 145 Batch transform Lecture 146 Sagemaker Deployment Lecture 147 SageMaker MLOps for Kubernetes and SageMaker Projects Lecture 148 AWS Neuron Lecture 149 Torchserve Lecture 150 Amazon SageMaker Inference Recommender Lecture 151 Amazon SageMaker Serverless Inference Lecture 152 Inference Pipeline Lecture 153 SageMaker Monitoring Lecture 154 Sagemaker Security Lecture 155 Sagemaker Model Monitor Lecture 156 Sagemaker Neo and IOT greengrass Lecture 157 EC2 Inf1 instances Lecture 158 AWS Inferentia Lecture 159 [HOL] XGBoost (Churn prediction) deployment Lecture 160 Exam cram Section 10: Practice Test Section 11: Additional Training Lecture 161 Bonus Lesson Individuals preparing for the AWS Machine Learning Specialty certification exam who want to pass with confidence,Professionals seeking to expand their skillset in AI and ML or those who want to transition into a data-driven career in cloud computing,Students who want to enhance their skills by learning how to implement machine learning solutions on the AWS platform,AI practitioners seeking to broaden their expertise in implementing, deploying, and managing ML solutions on AWS for a scalable and cost-effective approach,Programmers interested in incorporating machine learning techniques into their applications, allowing them to create more intelligent and data-driven software solutions,Technical leaders and executives looking to understand the capabilities and benefits of AWS Machine Learning services to make informed decisions on adopting and implementing ML solutions in their organizations,Anyone who is keen to take their career and salary to the next level with an AWS certification Screenshots

Last updated 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.50 GB | Duration: 12h 9m Learn FileMaker Scripting, Calculations and Relationships at an intermediate and advanced level! What you'll learn FileMaker Scripting FileMaker Calculations FileMaker Relationships FileMaker Design Requirements FileMaker Beginner Knowledge Must know the Differences between the 4 Modes: Browse, Find, Layout and Preview Must have a Beginner Knowledge of Scripting Must have a Beginner Knowledge of Calculations Must have a Beginner Knowledge of Relationship Design Completion of Volume 2 of the Philosophy of FileMaker 20 Description If you want to learn how to create FileMaker 20 scripts, calculations and relationships at a professional level then this course is for you. Well known author John Mark Osborne starts off with a blank file so you can see every part of the process but quickly moves into intermediate, advanced and even expert techniques. The course uses a single example of an Invoicing solution to aid the learning process so you can focus on a single solution from beginning to end. Even if you don't want to build an Invoicing solution, the skills taught in this course will teach you the ins and outs of developing any solution in FileMaker. That's because John teaches you how to think for yourself instead of how to regurgitate techniques. John shows you multiple approaches to every solution and compares and contrasts the advantages and disadvantages so you know when to use each solution to each unique problem. With all the knowledge required to be a professional FileMaker developer, this course comes in 3 volumes. If you study all three volumes, you will be well prepared to prduce FileMaker solutions for your company or clients. If you aren't convinced, watch the free previews in each chapter to find out why people have trusted John's FileMaker training for the last 30 years. Overview Section 1: Purchase Orders Lecture 1 Vendors Table Lecture 2 Vendors Contacts Table Lecture 3 Vendors Products Table Lecture 4 Products Vendors Portal Lecture 5 Vendors Layout Lecture 6 Vendors Products Portal Lecture 7 Purchases Table Lecture 8 Purchases Layout 1 Lecture 9 Purchases Layout 2 Section 2: Advanced & Expert Scripting Lecture 10 Receiving POs Lecture 11 Receiving and Entire PO Lecture 12 Receiving Improvements Lecture 13 Gathering POs 1 Lecture 14 Gathering POs 2 Lecture 15 Saving Sets without Copy Lecture 16 Saving Sets with Parsing Lecture 17 Restoring Sets with Parsing Lecture 18 Dynamic Restoration & More Lecture 19 Saving Sets with Snapshot Link Section 3: Script Triggers Lecture 20 Review & Logistics Lecture 21 Tab Restoration Lecture 22 Saving a Record Lecture 23 Preventing Carriage Returns Lecture 24 Preventing Data Entry in a Drop-Down Lecture 25 Limiting Zip Codes Lecture 26 Trigger Validation Benefits Lecture 27 Reminder Structure Lecture 28 Reminder Script Lecture 29 Bells & Whistles Lecture 30 User Specific Reminders Lecture 31 Automatic Reminders Section 4: Advanced Miscellany Lecture 32 Customer Picker Lecture 33 Product Picker Lecture 34 Conditional Tabs 1 Lecture 35 Conditional Tabs 2 Lecture 36 Multilingual Data Entry Lecture 37 Multilingual Table Lecture 38 Multilingual Tooltips Lecture 39 Multilingual Labels Lecture 40 Custom Form Letters 1 Lecture 41 Customer Form Letters 2 Lecture 42 Customer Form Letters 3 Section 5: The Kitchen-Sink & Mop-Up Lecture 43 Subsummary Sandwich Lecture 44 Dynamic Reporting Lecture 45 Subsummary Percentages Lecture 46 Conditional Subsummaries Lecture 47 Storing Container Data Lecture 48 Container Tidbits Lecture 49 Commenting & Organizing Lecture 50 Tab Order Aspiring FileMaker Developers who wants to Create Professional Solutions Screenshots

Published 7/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.32 GB | Duration: 1h 32m Early Language Learning What you'll learn Learn about the basic characteristics of the process of an early foreign language learning To find out about the appropriate way of planning the given process and the method Master the basic current standards in the early English learning process, their aims, methods and techniques of application; Understand the relationship between curricula, methods, and teaching materials, student learning predispositions and preferences that are used in the classroom In order to reach the required aims, to understand and select appropriate teaching materials and equipment and teaching and leading styles Requirements to be familiar with basic pedagogical, andragogical or educational concepts Description Course ObjectivesThis course provides an overview of the basic methods, objectives and criteria of the early English language learning process. Current pedagogical achievements in regards to application of appropriate didactic tools suitable for children's ages are also investigated within the course. Besides, this course provides a theoretical framework for making optimal curricula in the process of early foreign language learning, as well as guidelines for practice. Special attention is paid to the importance of education and training of teaching staff in the field of child psychology and pedagogy.Learning Outcomes After successful completion of the course, the student will be able to: Learn about the basic characteristics of the process of an early foreign language learning, find out about the appropriate way of planning the given process and the methods and techniques that will be applied and their implementation; Master the basic current standards in the early English learning process, their aims, methods and techniques of application; Understand the relationship between curricula, methods, and teaching materials, student learning predispositions and preferences that are used in the classroom in order to reach the required aims in the early English language learning process, as well as select appropriate textbooks, teaching materials and equipment and teaching and leading styles Overview Section 1: Introduction Lecture 1 Introduction and Key Terms in Research on Early Foreign Language Learning Section 2: Key Theories on the Influence of Age on Early Foreign Language Learning Lecture 2 Jean Piaget's theory Lecture 3 Lev Vygotsky's Sociocultural Theory Lecture 4 Theory of Jerome Bruner Section 3: Early Foreign Language Learning Lecture 5 Sensitive Period Lecture 6 Critical Period Lecture 7 Less is More Lecture 8 Monolingual, Bilingual or Polyglots? Lecture 9 Plasticity of the Brain and Language Section 4: Foreign Language Learning in School Lecture 10 Predispositions and Preferences on Foreign Language in School Lecture 11 Development of Second Language Section 5: Effects of the Age of Onset on Foreign Language Learning in School Lecture 12 Effects of the Age of Onset on Foreign Language Learning in School Lecture 13 Overall Proficiency and Age Lecture 14 Factors Related to Curriculum and Instruction Section 6: Quiz parents, educators, instructors, teachers,BA, MA and PhD students Screenshots

Published 7/2024 Created by Opalyn Desiree Lim MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 32 Lectures ( 4h 3m ) | Size: 1.42 GB Explore Math Fundamentals with Pre-Algebra Wizardry 101, Your guide to master Basic Algebra seamlessly and excel in Math What you'll learn: Understand and apply the concepts of prime and composite numbers, including identifying prime numbers and factoring composite numbers into their prime factors. Master the operations with fractions, including addition, subtraction, multiplication, division, and conversion between mixed numbers and improper fractions. Discover the relationships between numbers through the study of multiples and factors, least common multiple (LCM) and greatest common factor (GCF) Gain confidence in performing arithmetic operations with integers, decimals, and rational numbers. Develop the ability to simplify algebraic expressions and solve linear equations and inequalities. Requirements: The only requirement is your enthusiasm to practice the basics of algebra-no prior knowledge is needed. This class covers fundamental mathematical concepts and operations, teaching you the basics of algebra step-by-step through clear overviews, definitions, and exercises. Pen and paper (or a word document on your computer) to practice the exercises. Description: Are you looking to improve your algebra skills by mastering the basics of algebra? Embark on a transformative journey with "Pre-Algebra Wizardry 101," your ultimate guide to fundamental math skills. This course is designed for everyone, whether you're a student preparing for exams, a parent empowering your child's learning, or an adult brushing up on basic algebra.I'm Opalyn, your instructor, with extensive experience in teaching math. This course will help you build a solid foundation in pre-algebra, essential for excelling in algebra, geometry, trigonometry and beyond.Why This Course is Essential:A thorough understanding of pre-algebra is crucial for mastering higher-level math. This course offers a supportive learning environment, helping you overcome any challenges and develop confidence in your math skills.Course Highlights:Number Games: Explore the fascinating properties of numbers, including factors, multiples, primes, and more.Ratios and Proportions: Learn to compare quantities, calculate percentages, and convert units with ease.Exponential Power: Master exponents, simplify expressions, and understand scientific notation.Essential Mathematical Operations: Gain expertise in operations with fractions, including addition, subtraction, multiplication, division, and conversion between mixed numbers and improper fractions.And much moreWho Should Enroll:Math Students: Refresh your basic algebra skills and enhance your overall mathematical proficiency.Parents: Equip yourself with the knowledge to support your child's learning journey in basic algebra and become an active participant in their education.Supportive Learning Environment: This course is intended for purchase and use by adults, ensuring a supervised and supportive learning environment for learners.The Skills You Will LearnBy the end of this course, you will have a solid understanding of pre-algebra concepts, paving the way for future success in mathematics. Join us on this educational adventure and transform your math skills with ease.Join this course and you will gain:Lifetime access to this course and all the videos.Mastering the basics of algebra.Personalized support in the Q&A section on your math questions.Access to a downloadable Udemy Certificate of Completion .You can opt to receive messages with extra exercises in pre-algebra (allow this option in your settings).30-day money-back guarantee.Enroll now and start your journey to mastering the Fundamentals of Algebra! Who this course is for: Students of Math: This course will help you break down complex concepts into manageable, bite-sized pieces. Older adults: It's never too late to refresh your math knowledge. If you're returning to education or simply looking to brush up on your skills, this course provides a supportive and comprehensive learning environment. Parents: Eager to assist your child with their math homework? This course offers the tools and knowledge to confidently guide them through their mathematical challenges. Homepage

Published 7/2024 Created by AlRyhans Systems ONLINE MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 16h 5m ) | Size: 14.5 GB Complete Aston Martin Valkyrie 3D Car Modeling and Rendering in Blender for Beginners and Intermediates What you'll learn: Learn 3D Car Modeling from scratch Learn how to accurately import and set up Blueprints Learn the best way of 3D Car Modeling from main body to details to Modeling a complete wheel Learn to add, make and edit Materials to make your 3D car model more appealing Learn to setup lighting and make amazing Renders Requirements: You should only know a very basic Blender interface & viewport Knowledge Description: Unlock the secrets of 3D car modeling with our comprehensive course focused on the iconic Aston Martin Valkyrie. Whether you're a beginner or an experienced artist, this course offers a detailed, step-by-step guide to creating a high-detailed, realistic car model in Blender. Over 10 hours of engaging video content will take you through every aspect of the modeling process, from importing blueprints to advanced rendering techniques.Course Highlights:Blueprint Importing: Learn how to import and set up blueprints accurately.Modeling the Main Body: Techniques for shaping the sleek, aerodynamic body of the Valkyrie.Detailed Parts: Crafting intricate details like lights, mirrors, and grilles.Wheels and Tires: Detailed tutorials on modeling realistic wheels and tires.Materials and Texturing: Apply and customize materials to achieve a lifelike appearance.Rendering: Master the art of rendering with tips for lighting, camera setup, and final output.Exclusive Resources: Access to reference images and blueprints rendered specifically for this course.Final Model: Receive the complete 3D model (.blend) file of the Aston Martin Valkyrie.Who is this course for:Those who want to learn 3D car modeling from scratchThose looking to level up their 3D car modeling skillsThose who struggle with modeling 3D car modelsThose who struggle with modeling Aston Martin Valkyrie or any other complex designed 3D car modelAnyone who wants to create their first 3D car modelBy the end of this course, you'll have the skills and confidence to create stunning 3D car models in Blender. Enroll now and start bringing your automotive dreams to life!Let's Get STARTED!My name is Mowahed Rehan and I will be your instructor for this course, I am a professional 3D Artist with over 4 years of experience in 3D tools like BLENDER & Autodesk Maya Who this course is for: Anyone who wants to create their first 3D car model Those who struggle with modeling 3D car models Those who struggle with modeling Aston Martin Valkyrie or any other complex designed 3D car model Those looking to level up their 3D car modeling skills Homepage