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Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 809.34 MB | Duration: 2h 23m Network Monitoring Essentials: Tools, Techniques, and Best Practices. Boosting Performance and Security What you'll learn Learn why network monitoring is crucial for maintaining a healthy and efficient IT infrastructure. Discover the benefits of proactive monitoring and how it can prevent major issues before they occur. Step-by-step instructions on downloading, installing, and setting up a Network Monitoring tool. Learn how to configure your Network Monitoring tool for optimal performance, including setting up user accounts and notifications. Navigate and customize dashboards to display the most relevant information for your network. Understand what sensors and probes are, how they work, and how to set them up to monitor various network elements. Deep dive into SNMP, including SNMPv1, SNMPv2c, and SNMPv3. Understand the concepts of NetFlow and sFlow, their use cases, and how to set up NetFlow monitoring. Learn how to use WMI for monitoring Windows servers and applications. Learn the importance of syslogs and how to utilize them within your network monitoring setup. Best Practices and Real-World Applications Set up monitoring for both Windows and Linux servers, including specific sensors and configurations for each environment. Learn how to configure SNMP monitoring for Network Devices and Infrastructure. Understand the importance of regular maintenance and updates to keep your monitoring system running smoothly. Requirements Familiarity with basic networking concepts such as IP addresses, subnets, and network protocols. Understanding common networking terminology and the roles of various network devices (routers, switches, firewalls). Description Welcome to "Mastering Infrastructure and Network Monitoring"! In this comprehensive course, you will embark on a journey to explore the essential concepts, tools, and techniques needed to effectively monitor and manage your network infrastructure using Network Monitoring tools.As networks become increasingly complex and critical to business operations, the ability to monitor performance and detect issues proactively is vital. This course is designed for IT professionals, network engineers, and anyone interested in improving their understanding of network monitoring.Starting with the basics, you will learn about the significance of network monitoring and the difference between proactive and reactive approaches. You will then dive into the hands-on installation and configuration of PRTG, mastering how to set up sensors, customize dashboards, and create alerts to stay ahead of potential problems.Throughout the course, you will explore advanced monitoring techniques, including the use of SNMP, NetFlow, and WMI, and learn how to implement these protocols effectively to gather valuable insights into your network's performance. Real-world scenarios and best practices will be emphasized to help you apply your knowledge effectively. By the end of the course, you will have the skills and confidence to implement network monitoring solutions tailored to your organization's needs.Whether you're looking to advance your career, optimize your network's performance, or gain a solid foundation in network monitoring, this course provides the tools and insights necessary for success. Join us and take the first step toward becoming a proficient network monitoring professional! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Infrastructure and Network Monitoring Essentials Lecture 2 Why is Infrastructure and Network Monitoring so important? Lecture 3 What is SNMP? (Simple Network Management Protocol) Lecture 4 Understanding SNMP: Communication Between Manager and Agents Lecture 5 What is WMI? (Windows Management Instrumentation) Lecture 6 What is Netflow/sFlow? Lecture 7 Comparison of Open Source vs. Commercial Tools Lecture 8 Understanding MIBs and OIDs in Network Management Section 3: Infrastructure and Network Monitoring Setup Lecture 9 Downloading and Installing PRTG Lecture 10 Initial look at a Monitoring System Lecture 11 Network Device Monitoring Configuration - Switch Lecture 12 Auto Discovery in Network Monitoring: Built-in MIBs and OIDs Lecture 13 Infrastructure Monitoring Configuration - NAS (Network Attached Storage) Lecture 14 Network Device Monitoring Configuration - Firewall Lecture 15 Netflow Configuration - Firewall Lecture 16 Understanding NetFlow: Configuration, Use Cases, Best Practices, and Benefits Lecture 17 Windows Server Monitoring Configuration Lecture 18 Windows Server Roles Monitoring Configuration Lecture 19 Linux Server Monitoring Configuration Lecture 20 The Importance of Syslogs in Network Monitoring Tools Lecture 21 SNMPWALK Section 4: Alerting and Fine Tuning Lecture 22 Fine Tuning Monitors and Alerts Lecture 23 Monitoring Dashboards and Network Maps Lecture 24 Integration with Help Desk Ticketing Systems Section 5: Practicing at Home with Cisco Packet Tracer (Cisco Device Emulation Tool) Lecture 25 Practicing at Home with Cisco Packet Tracer Lecture 26 Cisco Packet Tracer - SNMP Lecture 27 Cisco Packet Tracer - Netflow Lecture 28 Cisco Packet Tracer - Syslog Section 6: Real-World Applications Lecture 29 Successful Network Monitoring Implementations Lecture 30 Lessons Learned from Monitoring Failures Section 7: Conclusion Lecture 31 Recap and Course Conclusion Network administrators, system engineers, and IT support staff who want to enhance their skills in network monitoring and management.,Individuals pursuing a career in IT or networking who seek to build a solid foundation in network monitoring tools and techniques.,Entrepreneurs and small business owners who manage their own IT infrastructure and want to ensure their networks are reliable and efficient.,Tech enthusiasts and hobbyists who want to learn more about network monitoring and how it impacts overall network performance.,Professionals looking to deepen their understanding of network monitoring protocols, such as SNMP and NetFlow, and how to implement them effectively. 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Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.69 GB | Duration: 1h 39m Understanding Finance and Achieving Financial Freedom What you'll learn Recognize and challenge common pitfalls and misconceptions that lead to financial instability. Gain a solid understanding of key financial concepts, including budgeting, saving, investing, and managing debt. Cultivate healthy financial habits, including automating savings, avoiding lifestyle inflation, and building multiple income streams. Set and achieve financial goals, including paying off debt, building wealth, and securing their financial future. Requirements None Description Breaking the Cycle of Financial Instability: Understanding Finance and Achieving Financial FreedomAre you tired of living paycheck to paycheck, constantly stressing about money, and feeling like you're never getting ahead? Do you dream of financial freedom, but don't know where to start or feel overwhelmed by the thought of managing your finances? This course is designed to help you break the cycle of financial instability and achieve lasting financial stability, security, and peace of mind.In this comprehensive and engaging course, you'll learn the fundamentals of personal finance, including budgeting, saving, investing, and managing debt. You'll also discover how to identify and challenge limiting financial beliefs, develop healthy financial habits, and create a personalized plan for achieving financial freedom. Our expert instructors will guide you through a series of interactive lessons, real-world examples, and practical exercises, helping you to gain the knowledge, skills, and confidence you need to take control of your finances.Through this course, you'll learn how to:Understand the root causes of financial instability and how to overcome themCreate a budget that actually works for you, not against youPay off debt and build wealth, using proven strategies and techniquesMake informed investment decisions, and grow your money over timeAchieve financial independence and security, and enjoy the freedom and peace of mind that comes with itYou'll also learn how to:Avoid common financial pitfalls, such as lifestyle inflation and impulse purchasesBuild multiple income streams, and reduce your reliance on a single income sourceCreate a financial safety net, and protect yourself from unexpected expenses and financial shocksDevelop a long-term investment strategy, and achieve your financial goalsWhether you're struggling to make ends meet, or simply looking to improve your financial situation, this course will provide you with the tools, support, and guidance you need to achieve your financial goals. Our expert instructors are here to help you every step of the way, and our community of like-minded students will provide you with the motivation and encouragement you need to stay on track.So why wait? Join us today, and start building the financial future you deserve. With this course, you'll be able to:Take control of your finances, and achieve financial stability and securityReduce stress and anxiety, and enjoy greater peace of mindBuild wealth and achieve financial freedom, and enjoy the lifestyle you've always wantedCreate a brighter financial future, and achieve your long-term goalsDon't let financial instability hold you back any longer. Enroll in this course today, and start building the financial future you deserve! Overview Section 1: Modules Lecture 1 Module 1 Lecture 2 Module 1 Lecture 3 Module 2 Highlights Lecture 4 Module 2 Lecture 5 Module 3 Highlights Lecture 6 Module 3 Lecture 7 Module 4 Highlights Lecture 8 Module 4 Lecture 9 Thank you for going through Everyone who wants to be financially independent Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.49 GB | Duration: 1h 46m Financial Analysis for non-financial managers, Accounting and Finance Introduction by MTF Institute What you'll learn Accounting methods Accounting standards Main financial statements Financial ratios Valuation principles Using the DCF approach Requirements For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning. Description Welcome to program: Professional Certificate in Financial AnalysisCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 208 countries and has been chosen by more than 520 000 students.Course Author:Mr. Joao Martins is seasoned manager and entrepreneur, with over 30 years' experience in top management positions in the telecommunications and IT sectors. Starting in an academic environment, where he obtained his PhD in Engineering and an MBA at Universidade Nova de Lisboa, quickly evolved to C-suite positions in the corporate environment, both in large corporations and in start-ups.He is currently a director and start-up shareholder in an IT integrator in Lisbon, focused on cybersecurity. With a passion for education, he also an invited Professor at Nova Information Management School, teaching Knowledge Management and Financial Analysis to graduate and undergraduate students. Course focuses:Financial Statement Analysis will help business owners and other interested people to analyze the data in financial statements to provide them with better information about such key factors for decision making and ultimate business survival.Financial Statement Analysis is the collective name for the tools and techniques that are intended to provide relevant information to the decision makers. The purpose of the FSA is to assess the financial health and performance of the company.FSA consist of the comparisons for the same company over the period of time and comparisons of different companies either in the same industry or in different industries.WHY IS IT IMPORTANT:Financial statement analysis involves analyzing the information provided in the financial statements to:Provide information about the organization's:Past performancePresent conditionFuture performanceAssess the organization's:Earnings in terms of power, persistence, quality and growthSolvencyPlan of lessons:1. Accounting methods- Introduction- What is an account.- Debit and credit operations- Double entry accounting2. Accounting Standards- End of Period operations- Introducing the financial statements3. Financial Statements- Main financial statements- Interpreting the statements4. Financial Statements- Financial ratios- Interpreting the ratios5. Valuation principles- Cost, Market and DCF- DCF methodology- WACC6. Valuation principles- 6 steps of DCF- Terminal values- Enterprise and equity values Overview Section 1: Introduction Lecture 1 Onboarding to the learning process Section 2: Financial Analysis Lecture 2 ACCOUNTING METHODS Lecture 3 ACCOUNTING STANDARDS Lecture 4 MAIN FINANCIAL STATEMENTS Lecture 5 FINANCIAL RATIOS Lecture 6 VALUATION PRINCIPLES Lecture 7 USING THE DCF APPROACH Section 3: Interactive Part, Next Steps and Answers to Questions Lecture 8 Interactive Part Lecture 9 Congratulations with finishing from MTF No special requirements. Course for any who want to build a career at business or improve their knowledge. Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 507.96 MB | Duration: 0h 38m Learn how to apply Communication fundamentals to Professional and Personal Life What you'll learn What are the components of effective communication How to communicate in personal and professional situations How to Listen well to be able to communicate better Different styles of communication - verbal, non verbal, cultural nuances and multi platform and multi modal communication Requirements No experience required. You can be in High School, Grad School, Working professionals, Middle and Senior Management, Leadership role etc No Communication experience required, should have completed schooling and have command over the English Language, Phonetics and Grammar. Description Hi everyone!Welcome to my Course on the Communication Quotient : Effective Communication Strategies & Styles My name is Tanya Singh and I coach teams and individuals across the globe including Beauty Queens (Miss Universe), Entrepreneurs, Ivy league students, Fortune 500 C-suite, Diplomats, Armed Forces, Global Leaders, Middle Management and young men and women across the world; and I am looking to help you can gain some fundamental pearls from my learnings on this journey of 25 years.Apart from the above, I have written strategies and concepts and contributed to some key Unicorn Businesses across the globe, and managed multi-cultural modalities and was a sole custodian for BRICS 2019 for Brazil and India.I also write and publish academic papers and am a thought leader for Aspen Institute, KPMG, Harvard etc, and would be suggesting some books you can read and I can assure you that you will get better at communicating with self and others, in business environments and for use cases such as Storytelling, PR, Business Development, and Marketing. Pause and reflect after each content series and feel free to DM me or leave me feedback, once you are able to apply some of these principles to your daily life.Even if you are a beginner, or are looking to polish your skills and get acquainted with the basics again, this course is for you.If you are an intermediate communicator, this may help you get insight into nuances you usually do not notice.If you are an expert communicator, then I am grateful that you are here.I sincerely hope you enjoy the first series in this journey which will help you navigate both In person and Virtual Communications ! Overview Section 1: Introduction Lecture 1 What is Communication Lecture 2 Process of Communication (And its Evolution) Lecture 3 Understanding the role of Personality in Communication Lecture 4 Confidence is everything ! Lecture 5 Understanding the Role of Perception in Communication Lecture 6 Public Speaking ! Lecture 7 Communicating in a Group Lecture 8 Presentation skills, not just personality! Section 2: 7 Cs of Communication Lecture 9 Communication must be CLEAR Lecture 10 Communication must be CONCISE Lecture 11 Communication must be CONCRETE Lecture 12 Communication must be CORRECT Lecture 13 Communication must be CONSIDERATE Lecture 14 Communication must be COURTEOUS Lecture 15 Communication must be COMPLETE Section 3: Communication Styles Lecture 16 Introduction Lecture 17 Why should you learn about different communication styles ? Lecture 18 PASSIVE Communication Lecture 19 AGGRESSIVE Communication Lecture 20 SUBMISSIVE Communication Lecture 21 MANIPULATIVE Communication Lecture 22 ASSERTIVE Communication Lecture 23 Parting Advice : End of Series Professionals in Marketing, Design, Business Development, Coders, Startup CEOs, Writers, Public Speakers, Policy writers, Lawyers, Consultants Screenshots

Published 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 42m | Size: 5.37 GB Learn what it really takes to play guitar like Randy Rhoads! What you'll learn Learn what it really takes to play guitar like Randy Rhoads! Study his lead guitar prowess, earth shaking riffs, rhythm, classical influences and writing skills Guided through a learning experience based on popular studio productions, (even comparing alternate takes and edits), concert adaptations, as well as commentary Suicide Solution - Warm up lesson, beginner to intermediate. I Don t Know - Exclusive studio vs live references of rhythm changes, fills, classical adaptations Crazy Train - rhythm structure, tapping, studio, live and alternate comparisons. S.A.T.O. - Intricate rhythm structure, soloing with ascending and descending. Believer - Razor edge rhythmic precision, classical interludes, and melodic use of blues and classical scales. Diary Of A Madman - Guitar Solo Lesson Requirements A desire to learn to play Randy Rhoads songs on guitar. Description This fifth installment of the Phrase By Phrase DVD series investigates the lead guitar prowess, earth shaking riffs, rhythm, classical influences and writing skills of the late Randy Rhoads.Researching his work with Ozzy Osbourne, this method explores Randys style, variation and improvisations on the guitar. As a whole, the viewer will be guided through a learning experience based on popular studio productions, (even comparing alternate takes and edits), concert adaptations, as well as commentary on rare live video footage.Lessons Include: Introduction by instructor Marko Coconut.Guitars and Tone: How to achieve with basic gear.Suicide Solution - Warm up lesson, beginner to intermediate.I Don t Know - Exclusive studio vs live references of rhythm changes, fills, classical adaptations and searing, full neck guitar solos.Crazy Train - major/minor rhythm structure, two hand tapping, including studio, live and alternate track comparisons.S.A.T.O. - Intricate rhythm structure, soloing with ascending and descending passages.Believer - Razor edge rhythmic precision, classical interludes, and melodic use of blues and classical scales.Diary Of A Madman - Guitar Solo Lesson - combining the exotic Hungarian and Pentatonic minor scales.S.A.T.O. - A personal favorite of the author/performer, Marko Coconut. One of Randy's most intricate guitar solos ever recorded, nearly covering the entire neck of the guitar! Add to that, a precise, crisp rhythm that broke the previous boundaries of rock guitar. Over The Mountain - with dueling, two part harmony solos.Flying High Again - Featuring Randy's iconic rhythm and harmonic two-hand tapping guitar solo. Runtime: Over 5 Jam-Packed Hours! Who this course is for Beginner through advanced guitarists. Homepage Screenshots

Published 8/2024 Created by Kuljot Singh Bakshi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 4h 52m ) | Size: 2.13 GB Unlock Azure AI Studio's Full Potential: Dive into Prompt Flow, Content Safety, Evaluation, LLMOps, and RAG Techniques What you'll learn: Learn about Azure AI Studio Learn to integrate Prompt Flows into AI applications Learn about RAG (Retrieval Augmented Generation) Learn to evaluate Gen AI applications Build Responsible AI applications Requirements: Basic programming experience required Basic understanding of Azure required Description: Welcome to "Master Azure AI Studio: Prompt Flow, LLMOps & RAG"!Are you ready to unlock the full potential of Azure AI Studio? This comprehensive course is designed to equip you with the skills and knowledge needed to harness the power of Azure AI Studio's advanced features.What You'll Learn:Prompt Flow: Master the art of designing and optimizing prompt flows for seamless AI interactions.Content Safety: Ensure your AI solutions adhere to the highest standards of safety and compliance.Evaluation: Learn effective techniques for evaluating AI models to achieve optimal performance.LLMOps: Dive into the operations and management of large language models, streamlining your AI workflows.RAG (Retrieval-Augmented Generation): Enhance your AI applications with cutting-edge retrieval and generation techniques.Why This Course?Expert Guidance: Learn from an experienced instructor with hands-on expertise in Azure AI Studio.Practical Skills: Gain practical skills through real-world examples and hands-on exercises.Comprehensive Coverage: Covering all key aspects, from basic concepts to advanced techniques.By the end of this course, you'll be well-equipped to leverage Azure AI Studio for building robust, efficient, and safe AI solutions. Whether you're a developer, data scientist, or AI enthusiast, this course will provide you with the tools and insights needed to excel in the field of AI.Join us on this exciting journey and become an expert in Azure AI Studio today! Who this course is for: Software Developers AI enthusiasts DevOps engineers Azure Developers Homepage

Published 8/2024 Created by Cyvitrix Learning | 30,000+ Enrolments | GRC, Infosec, Cybersecurity MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 73 Lectures ( 12h 12m ) | Size: 4.13 GB Cyber Security Skills Building Course What you'll learn: Cyber Security Foundations Information Security Foundations Risk Management and Security Governance Key Security Controls and examples for it Requirements: No thing, everything will be thoroughly covered. Description: Welcome to the Cybersecurity Mastery Ultimate Course, the most comprehensive and up-to-date training program designed for aspiring cybersecurity professionals. Whether you are a beginner or looking to advance your skills, this course provides everything you need to excel in the dynamic field of cybersecurity.What You Will Learn?Fundamentals of Cybersecurity:Introduction to cybersecurity principlesUnderstanding threats, vulnerabilities, and attacksSecurity architecture and designNetwork Security:Securing network infrastructuresImplementing firewalls, VPNs, and IDS/IPSNetwork protocols and secure communicationApplication Security:Secure software development lifecycle (SDLC)Web application securityMobile application securityRisk Management:Identifying and assessing risksDeveloping risk management strategiesCompliance and regulatory requirements (GDPR, HIPAA, etc.)Incident Response and Forensics:Incident response planning and executionDigital forensics and evidence collectionRecovery and post-incident activitiesAdvanced Topics:Cloud securityCybersecurity in IoT and AI environmentsEmerging threats and future trendsWhy Choose This Course?Expert Instructors: Learn from industry leaders with extensive experience in cybersecurity.Up-to-Date Content: Stay ahead with the latest cybersecurity trends and best practices.Flexible Learning: Access course materials anytime, anywhere, with our online platform.Certification Prep: Prepare for top cybersecurity certifications like CISSP, CISM, CEH, and more.Who Should Enroll?Aspiring Cybersecurity Professionals: Anyone looking to start a career in cybersecurity.IT Professionals: Enhance your current skills and knowledge in cybersecurity.Business Leaders: Understand the importance of cybersecurity in protecting your organization.Students: Build a strong foundation in cybersecurity to prepare for future opportunities.Course Features?Community Support: Join a vibrant community of learners and experts.Career Services: Receive guidance on resume building, job searching, and interview preparation.Lifetime Access: Enjoy lifetime access to course materials and updates.Ready to take the first step towards mastering cybersecurity? Enroll in the Cybersecurity Mastery Ultimate Course today and secure your future in the ever-growing field of cybersecurity. Who this course is for: Anyone looking to start a career in cybersecurity. If you want to Enhance your current skills and knowledge in cybersecurity. If you want to Build a strong foundation in cybersecurity to prepare for future opportunities. Homepage

Last updated 5/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.46 GB | Duration: 1h 42m Mosquitto broker , Amazon Web Services IoT core, ESP32, Raspberry Pi What you'll learn You will learn what mqtt is and how it works. You will be able to install and configure the mosquito mqtt broker on Windows PC and Raspberry Pi. We will write a program for ESP32 that works with mosquito broker. You will learn how to work with Amazon Web Services IoT core, most popular mqtt cloud service. We will modify the previously written program for ESP32 so that your devices can work with AWS IoT core. We will write the pub/sub client for Windows and Raspberry Pi You will learn how to generate your TLS certificate and use it in your programs Requirements C/C++ (beginner) Arduino (beginner) Description In this course, I will look at the main points that allow your devices to exchange messages with each other over the MQTT protocol.First, I will tell you about the MQTT protocol itself and the basic principles of its operation, I will explain what MQTT broker is. Then we will download and install the most popular MQTT mosquito broker for Windows and learn how to configure it. First we will do it on your machine, and then through the local network. Next, we will write a program for ESP32 that allows you to communicate with mosquitto broker, connect it via WiFi and test how the program works with mosquito broker. After that, we will install the mosquitto under linux on Raspberry Pi and connect ESP32 to it. We will also write a client that works through mosquito API, which you can embed into your programs.And then we will learn how to work with the most popular cloud service for the Internet of Things Amazon Web Services IoT core. You will learn how to connect your devices to it and create a certificate and a policy for them. Next, we will modify our program for ESP32 so that it can work with the Amazon Web Services IoT Core. Then I'll show you how you can use one certificate and policy for multiple devices. Overview Section 1: Введение Lecture 1 Introduction to MQTT Section 2: Mosquitto broker Lecture 2 Installation and testing of mosquitto broker on Windows Lecture 3 Writing ESP32 arduino program to connect it with mosquitto broker Lecture 4 Adding pub/sub topics and authentification to the ESP32 programm Lecture 5 Installation the mosquitto broker on Linux Raspberry Pi Lecture 6 Mosquitto API: writing mosquitto client for Windows Lecture 7 Mosquitto API: mosquitto client for Linux Raspberry Pi Lecture 8 Mosquitto TLS: generating the certificate and keys Lecture 9 Mosquitto TLS: attaching the certificate and keys to client PC and EPS32 program Section 3: Amazon Web Services IoT core Lecture 10 AWS IoT core: creating thing, policy and certificate. Lecture 11 Connecting ESP32 devices to AWS IoT core This course could be suitable for electronics engineers or amateurs interested in the Internet of Things. Screenshots

Last updated 6/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 10.03 GB | Duration: 9h 3m Investment Banking and Finance: Private Equity Finance Masterclass: Fundraising, Valuation, PE Deals from Entry to Exit What you'll learn Discover the core concepts in Private Equity, a core Investment Banking skill required by any Wall Street analyst Understand How Private Equity Funds work Discover and understand the Key Terminology in our Glossary and Definitions Gain an Investment Banking perspective on the Key Characteristics of Private Equity Firms Discover how to identify the right Private Equity firm for your business Understand how Private Equity Firms identify and source their deals Discover how to Structure a Private Equity Finance transaction Understand Deal Value Creation and Key Private Equity Metrics Understand the Private Equity Deal Process, step by step Discover the importance of Deal Due Diligence Understand Private Equity Deal Valuation and Pricing Work through the comprehensive LBO Modelling structure and framework Discover how to evaluate Risks and Returns in Private Equity Deals Understand Exit Scenarios, Trade Sales, M&A, IPOs, Liquidations and Recapitalisations Discover why some Startups fail Understand how to measure Private Equity Fund returns Requirements No knowledge of Investment Banking or Private Equity is required or assumed You need no knowledge of Banking and Finance Description Jan 2021 Update :This course has undergone a transformational update adding over 7 hours of new and exclusive content!This content is exclusive to Udemy and UFB.At the core of Investment Banking and Finance Fundamentals is the world of Private Equity FinanceThis is how many on Wall Street and CEO's of companies make millions of dollars every year.If you seeking to master Entrepreneurship Fundamentals or considering a career in Investment Banking or Private Equity, then this is a topic you need to master!I have been working with Private Equity firms since 1988 and have done dozens of deals raising millions of dollars. I have been involved in deals where the principles walked away with hundreds of millions of dollars - each!The objective of this Investment "Banking and Finance: Private Equity Finance" course is to share that insight into what Private Equity is all about!In this course:Discover the core concepts in Private Equity, a core Investment Banking skill required by any Wall Street analystLet me explain to you how Private Equity funds workDiscover the detailed Glossary of Terms and Definitions to help you master the terminologyWe cover the Key Characteristics of Private Equity FirmsAnd help you to understand how you can find the right Private Equity Firm for your businessOf course, we cover how Private Equity Firms find their own deals too!We discuss the Structuring of Private Equity dealsAnd Deal Value Creation and Key Metrics in Private Equity FinanceUnderstand what is meant by EBITDA and how to calculate it - Finance Fundamentals Understand the difference between a Leveraged Buyout ( LBO ) and a Management Buyout ( MBO )Understand the Private Equity Deal Process, step by stepAnd we walk through the critical issue of Due Diligence in Private Equity DealsValuation and Deal Pricing is coveredDiscover how LBO Models are constructed in our comprehensive section (almost a course in its own right!)We review Risks and Returns in Private EquityThe Exit Options for Private Equity Portfolio Companies are discussedThen we dive into Trade Sales and M&A in the context of Private Equity ExitsAnd follow this up with a discussion of Initial Public Offerings or IPOsWe discuss the downside risk in Liquidation scenarios And have a detailed discussion about "Why Startups fail?"Finally we discuss how you measure Private Equity Fund ReturnsThis NINE hour course has over 100 lectures and over 90 downloadable resourcesDon't walk into that interview under prepared! Do you homework on Private Equity first by enrolling and completing this course. Plus if you have any questions - post them in the course - I always do my best to answer them.Not sure yet? Scroll down and watch the Free Preview Lectures!What makes us qualified to teach you?This is a Finance course taught by a 30+ year, Managing Director level, Investment Banker - from a practical perspective - I also have an MBA (with Distinction).Over 101,000 students have enrolled in my Udemy courses, this is what one of them said about this course:" I like the course and the approach of Sir John Colley. I believe I shall be able to achieve what I want through this course. I am looking forward to deeper and great understanding of the subject as this course will help me to make a career in Credit Analysis" R.R. Five StarOur PromiseI have been teaching on Udemy since 2014 and am fully committed to it. If you have any questions about the content or anything related to any topic, you can reach out with your questions at any time and I always do my best to respond promptlyDon't forget that this course (and all my courses) benefit from Udemy's money back guarantee!A Verifiable Certificate of Completion is presented to all students who undertake this finance course.Enroll with Confidence! See you inside the Course!From Novice to Finance Mastery: 9 Comprehensive CoursesCheck out my other leading finance CoursesBusiness Strategy - Financial Analysis - Mergers & Acquisitions - Company Valuation - Private Equity - Leveraged Buyouts - Venture CapitalBusiness Strategy Consulting Mastery: Mini MBA CourseMini MBA: Business Strategy 2 Business PlanFinancial Analysis Mastery for Banking and FinanceMergers & Acquisitions - M&A, Valuation & Selling a CompanyInvestment Banking and Finance: Why Acquisitions Really FailCompany Valuation MasterclassInvestment Banking and Finance: Private Equity FinancePrivate Equity: Complete Leveraged Buyout (LBO) CourseInvestment Banking and Finance: Venture Capital Fundraising Overview Section 1: Course Introduction and Overview of Private Equity Lecture 1 Introduction and Welcome to this Course Lecture 2 An Overview of Private Equity Lecture 3 Advantages and Disadvantages of VC and PE Funding Section 2: How Private Equity Funds Work Lecture 4 How To Set Up a Private Equity Fund Lecture 5 The Structure of a Private Equity Fund Lecture 6 Limited Partnerships within a Private Equity Fund Lecture 7 Roles within a Private Equity Funds Section 3: Private Equity Glossary of Terms and Definitions Lecture 8 Private Equity Glossary - Introduction Lecture 9 What is a Management Buyout? Lecture 10 What is a Leveraged Buyout Lecture 11 Dispelling MBO Myths Lecture 12 Glossary of Investors Lecture 13 Glossary of Buyout Terms Lecture 14 Glossary of Investment Terms Lecture 15 What are Fund of Funds? Section 4: The Key Characteristics of Private Equity Firms Lecture 16 Categorising Private Equity Firms Lecture 17 Deal Stages - The Difference between Private Equity and Venture Capital Lecture 18 Lifecycle of a Private Equity Firm Lecture 19 How do Private Equity Firms Create Value? Lecture 20 Private Equity Measurement and Compensation Section 5: How to Find The Right Private Equity Firm Lecture 21 How to Find The Right Investor Lecture 22 Is Private Equity the Right Option for your Business? Lecture 23 Private Equity Selection Checklist Section 6: How do Private Equity Firms Source Deals? Lecture 24 Types of Funding Transactions in Venture Capital and Private Equity Lecture 25 What Makes a Good Buyout Target Firm? Lecture 26 Private Equity Deal Screening Lecture 27 Private Equity Deal Funnel Section 7: Structuring Private Equity Deals Lecture 28 Capital Structure of a Private Equity Buyout Lecture 29 Key Deal Structuring Terms Lecture 30 What is Equity and Common Stock? Lecture 31 Preferred Stock in Private Equity Deals Lecture 32 Preferred Stockholders Liquidation Preferences Lecture 33 More Rights in Private Equity Deals Lecture 34 Assessing Capital Structures in Private Equity Deals Section 8: Deal Value Creation and Metrics Lecture 35 How Do Private Equity Firms Make Their Money? Lecture 36 How do PE Firms Create Value for a Portfolio Company Section 9: Private Equity Deal Process - Step by Step Lecture 37 Private Equity Deal Process Part 1 Lecture 38 Private Equity Deal Process Part 2 Lecture 39 Private Equity Deal Process Part 3 Lecture 40 Private Equity Deal Process Part 4 Lecture 41 Private Equity Deal Process Part 5 Section 10: Areas of Due Diligence in Private Equity Deals Lecture 42 Areas of Due Diligence in Private Equity Deals Lecture 43 Commercial Due Diligence - Competition and Markets Lecture 44 Commercial Due Diligence - Sector Growth Lecture 45 Commercial Due Diligence - Customers and Suppliers Lecture 46 Commercial Due Diligence - Capital Requirements Lecture 47 Commercial Due Diligence - Financial Performance Lecture 48 Financial Due Diligence Lecture 49 Legal Due Diligence Section 11: Valuation and Pricing in Transactions Lecture 50 How to Value Private Companies in Private Equity Transactions Lecture 51 What is EBITDA? Section 12: A Detailed Explanation of LBO Modelling Lecture 52 Introduction to LBO Modelling Lecture 53 Navigation: Overview of an LBO Model Lecture 54 Inputs: Document Sources Lecture 55 Inputs: LBO Model Global Assumptions Lecture 56 Inputs: LBO Model Key Assumptions Lecture 57 Inputs: LBO Model Operational Assumptions Lecture 58 Inputs: The Sources and Uses of Funds Lecture 59 Financial Statements: LBO Model Financial Projections Lecture 60 Financial Statements: Linkages and Balance Sheet Adjustments Lecture 61 Financial Statements: Circularity in LBO Models Lecture 62 Schedules: Working Capital Schedule Lecture 63 Schedules: Revolver and Cash Sweep Lecture 64 Schedules: Goodwill in LBOs Lecture 65 Schedules: Tax Schedules Lecture 66 Schedules: Depreciation and Amortisation Schedules Lecture 67 Schedules: Debt Schedule Lecture 68 Schedules: Debt Ratio Calculations Lecture 69 Schedules: Distribution Waterfall Lecture 70 Outputs: Valuation: WACC and DCF Lecture 71 Outputs: Returns and Leverage Lecture 72 Outputs: LBO Model Returns to Private Equity Lecture 73 Reports: General Report Lecture 74 Reports: Financial Report Lecture 75 Reports: Ability to Pay Lecture 76 Reports: LBO Value Creation Analysis Lecture 77 Reports: LBO Deal Presentation Section 13: Risks and Returns in Private Equity Lecture 78 Assessing Risk in Private Equity Investments Lecture 79 Management Equity in Leveraged Buyouts Section 14: Understanding Exit Options in Private Equity Transactions Lecture 80 What Drives an LBO? Lecture 81 Exit Options for LBOs Lecture 82 What is a Recapitalisation? Section 15: Trade Sales and Mergers and Acquisitions Lecture 83 LBO Exits - Company Sales Lecture 84 M&A Transaction Structures Lecture 85 More M&A Issues You Need to Know Section 16: Initial Public Offerings Lecture 86 LBO Exits: Initial Public Offerings Lecture 87 LBO Exits: IPO Process Lecture 88 LBO Exits: IPO Pros and Cons Section 17: Why Startups Fail Lecture 89 Why Do Startups Fail? Lecture 90 Why Do Startups Fail? Strategic Pre-Investment Issues Lecture 91 Why Do Startups Fail? Post Investment External Issues Lecture 92 Why Do Startups Fail? Internal Operational Issues Lecture 93 Why Do Startups Fail? Key Management Issues Lecture 94 Why Do Startups Fail? Financial Issues Lecture 95 Why Do Startups Fail - Summary Section 18: Private Equity Fund Returns Lecture 96 Understanding Private Equity Fund Returns Lecture 97 Defining Private Equity Fund Returns Lecture 98 Private Equity Return Ratios Lecture 99 Evaluating Private Equity Fund Performance Section 19: Summary and Wrap Up Lecture 100 Course Summary and Wrap Up Lecture 101 Bonus Lecture - Learn more from us Any Entrepreneur seeking to master the basics of Entrepreneurship Fundamentals,Any Entrepreneur or Potential Wall Street Analyst who wishes to expand their knowledge of Finance Fundamentals,Any prospective Investment Banking analyst who wishes to broaden their knowledge about Private Equity, LBO and MBO 's,Anyone undertaking Wall Street Prep in advance of applying for a Job or a business degree,Anyone considering applying for a job in a Private Equity firm Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 528.97 MB | Duration: 1h 36m Manipulating and analyzing python data structure in depth and understanding linear regression with associated concepts. What you'll learn Like a master chef crafting a signature dish, you'll learn to cook up python data structures from a recipe of brackets and commas. Delve into the spellbook of linear regression methods, which contain enchantments like `EDA`, `MISSING DATA ANALYSIS `, NORMALIZATION to manipulate data. Learn the incantations to safely dealing with python data structures and preventing any unintended alterations to your original creations. Become adept at performing magical operations such as concatenation, multiplication, and comparison to merge, replicate, and linear model in data analytics Requirements Python,IDE, Statistics, Machine Learning Description Unleash the power of python data structures and in-depth analysis of linear regression with this immersive and exciting video lesson on the Introduction to python data structure and linear regression! The tutorial covers important concepts and functions that are crucial for manipulating and analyzing data efficiently using Python.This Course has been designed for ease and better clarity to online learners starting from how to work with a python data structure and to perform regression operations on a data frame.From importing and exporting data to and transforming data, this course covers that are crucial for manipulating and analyzing data . We will dive into the essentials of python data structures and regression by demystifying complex concepts through clear and engaging examples.You will also learn how to perform advanced data operations such as merging, grouping, and aggregating data with ease. Unravel step-by-step examples that'll make even complex concepts a breeze to grasp, unfolding the wonders of advanced python Data structures and regression Techniques.From dazzling videos to interactive explanations, this lesson is perfect for student, professional, or data enthusiast seeking clarity on python Data structures and linear regression.Dive into the world of python Data structures with this comprehensive online tutorial, perfect for beginners looking to enhance their data analysis skills. You will positively gain a solid foundation for further exploration in the field and learn how to handle and analyze data efficiently, andBy the end of this course, you will be able to confidently work with python data frames and tackle complex data analysis tasks like a pro.So grab your pencil, sharpen your focus, and get ready to unlock the secrets of this course that will equip you with the necessary knowledge to excel in python and data analysis tasks. Overview Section 1: Introduction to list Lecture 1 Introduction Lecture 2 List Creation Lecture 3 Python list overview Lecture 4 List access with tabulation for clarification Lecture 5 List Access and it's associated operations Lecture 6 List useful methods and its operations Lecture 7 List deletion with del keyword and empty list Lecture 8 List conversion to tuple,set and dictionary Section 2: Introduction to tuple Lecture 9 Introduction Lecture 10 Tuple creation Lecture 11 Tuple access Lecture 12 Iterating through a Tuple Lecture 13 Changing, Reassigning, and Deleting Tuples Lecture 14 Tuples vs. Lists Lecture 15 Tuple method with description Lecture 16 Tuple use case Lecture 17 Summary Section 3: Introduction to Set Lecture 18 Introduction Lecture 19 Example of set Lecture 20 Set Operations Lecture 21 Set Creation Lecture 22 Set Example Lecture 23 Frozen Set Lecture 24 Frozen set with detailed information Lecture 25 Frozen set usage Lecture 26 Summary Section 4: Dictionary Lecture 27 Introduction Lecture 28 Dictionary structure and examples Lecture 29 Accessing Elements Lecture 30 Accessing elements using get Lecture 31 Adding and Modifying Entries to a Dictionary Lecture 32 Removing or Deleting Elements from a Dictionary Lecture 33 Delete an Dictionary Lecture 34 Setdefault() method Lecture 35 Dictionary copy method Lecture 36 Dictionary fromkeys method Lecture 37 Dictionary with example and detailed content Lecture 38 Summary Section 5: Python libraries for data analysis Lecture 39 Introduction Lecture 40 Python libraries widely used for analysis machine learning and statistics Lecture 41 Importing libraries Lecture 42 Loading training data Lecture 43 Loading testing data Lecture 44 Removing Unnecessary Attributes Lecture 45 Correlation check Lecture 46 Multicollinearity Lecture 47 Outliers detection Lecture 48 Data Preprocessing Lecture 49 Delete Unuseful Features Lecture 50 Fix Datatype Lecture 51 Check Mising Values Lecture 52 Imputing missing values Lecture 53 Feature Engineering Lecture 54 Numeric Feature Scaling Lecture 55 Skewing with boxcox_normmax() Lecture 56 Adding New Features Lecture 57 Numerical and categorical features Lecture 58 Encoding Categorical Variables Lecture 59 One Hot Encoding Lecture 60 Train and test data set Lecture 61 Target Variable Analysis Lecture 62 Target Variable Transformation Section 6: Modeling Lecture 63 Cross Validation Lecture 64 Evaluation Metric Lecture 65 Linear Models Whether you're a novice scribe or a seasoned programmer looking to expand your repertoire, this course will have you conjuring lists with the finesse of a Pythonista. 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Released: 08/2024 Duration: 5h 44m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 708 MB Level: Beginner | Genre: eLearning | Language: English Explore the extensive features of Microsoft Fabric. Start with the essentials, such as setting up a tenant and utilizing OneLake. Master the organization, loading, and transformation of data through pipelines, dataflows, and notebooks. Gain proficiency in applying T-SQL commands, configuring real-time analytics, and creating detailed paginated reports. Enhance your data management skills with structured approaches for both Fabric Warehouse and Fabric Lakehouse configurations. Additionally, explore machine learning experiments, manage data with Data Activator, and use Purview's admin monitoring tools. By the end of this course, you'll be ready to streamline data processes, generate real-time analytics, innovate with machine learning, and make data-driven decisions more effectively. Homepage Screenshots

Last updated 7/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 41m | Size: 585 MB Master Transformer models in Python, learn their architecture, implement NLP applications, and fine-tune models. What you'll learn Understand the fundamentals of generative AI Transformer models. Differentiate Transformer models from traditional neural networks. Recognize key applications of Transformer models in NLP and beyond. Grasp the architecture of Transformer models, including encoders and decoders. Implement Transformer models and applications in Python. Prepare data and train Transformer models effectively. Evaluate and analyze Transformer model performance. Build practical applications using transformers like text classification, language translation, and question answering. Fine-tune pre-trained Transformer models for specific tasks. Explore advanced models like BERT and GPT for practical use cases. Requirements Basic understanding of Python programming. Interest in fundamental machine learning concepts and neural networks. Willingness to learn and explore Transformer models in-depth. Access to a computer with internet connectivity. Description Welcome to "Introduction to Generative AI Transformer Models in Python" a comprehensive course designed to take you from the basics to advanced applications of Transformer models in natural language processing (NLP). Whether you're a data scientist, software developer, AI enthusiast, or a student, this course will provide you with the essential knowledge and practical skills needed to excel in the world of modern AI.Why Learn Transformer Models? Transformer models have revolutionized the field of NLP and AI with their ability to handle complex language tasks more efficiently than traditional neural networks. These models form the backbone of state-of-the-art applications like text classification, language translation, and question answering systems. By mastering Transformer models, you'll be equipped to tackle real-world challenges and contribute to cutting-edge AI developments.What You Will Learn:Understanding Transformer Models: We begin with the fundamentals, giving you a solid understanding of what Transformer models are, how they differ from traditional neural networks, and why they are crucial in today's AI landscape.Deep Dive into Transformer Architecture: Explore the components of Transformer models, including the encoder, decoder, and attention mechanisms. Learn how self-attention and positional encoding play a vital role in processing and understanding language.Implementing Transformers in Python: Get hands-on experience with Python, PyTorch, and SKLearn libraries. Follow step-by-step instructions to build, train, and evaluate your own Transformer models.NLP Applications: Apply what you've learned to real-world tasks. Implement Transformer models for text classification, language translation, and question answering. Learn how to preprocess data, prepare datasets, and fine-tune models for optimal performance.Advanced Topics and Fine-Tuning: Delve into advanced concepts like fine-tuning pre-trained models, exploring BERT and GPT, and understanding best practices for enhancing model performance.Course Highlights:Beginner-Friendly Approach: No advanced prerequisites required. A basic understanding of Python and machine learning concepts is enough to get started.Practical Examples: Each module includes practical examples and real-world applications, making the learning process engaging and relevant.Hands-On Projects: Work on hands-on projects that reinforce your understanding and give you practical experience in building and applying Transformer models.Expert Guidance: Learn from an industry expert who provides clear explanations, insightful tips, and valuable resources to help you succeed. Who this course is for Aspiring data scientists and machine learning enthusiasts seeking to understand Transformer models. Software developers and engineers looking to apply advanced AI techniques in their projects. AI researchers and students aiming to explore state-of-the-art natural language processing techniques. Professionals in the field of data analysis and AI who want to enhance their skill set with modern Transformer models. Beginners with a basic understanding of Python and machine learning concepts, eager to learn about cutting-edge AI technologies. Homepage Screenshots

Last updated 3/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 23.08 GB | Duration: 13h 3m Cultural clothing design and drawing from around the world What you'll learn How to use different tools and materials: fine liners, markers, color pencils, watercolors and brushes Character drawing Modern and traditional style clothing drawing and sketching Observation and Simplifying Figurative drawing Creating style and theme Creating different material textures Painting intricate patterns and details Detailed line drawing and doodle drawing Introduction to different tools and materials, and how to use them effectively Observation techniques for simplifying subjects and characters Studying different cultures and their clothing style Requirements No previous knowledge in drawing is required Description Welcome to the Masterclass of Cultural Clothing Design and Drawing from Around the World, an in-depth and comprehensive course that immerses you in the diverse world of clothing in different cultures using simplified methods. This course allows you not only to explore and analyze traditional clothing styles from 15 distinct cultures worldwide but also to learn how to observe, simplify, draw, and add details to forms that you see in the easiest possible way.In this course, you will be exposed to various samples of male and female clothing styles from different cultures worldwide, including Armenia, Korea, Japan, China, Africa, Netherlands, Saudi Arabia, America, Chile, Scotland, Britain, Thailand, India, and Persia. You will have the opportunity to explore each sample through different examples and work on the same subject with various mediums, enhancing your skills with every lesson.The course will teach you the importance of color in culturally related clothing, and you will learn how to master pencil, fine liner, pen, markers, colored pencil and watercolor, creating different material textures, painting intricate patterns and details, floral decorative patterns, color density, color mixing and blending, figure painting.You will get to practice and master different mediums in this course, including detailed line drawing and doodle drawing.Every country has its rich history and culture that influences its clothing styles for various occasions and eras, making them unique and distinguishable. This course enables you to explore this magical world while providing you with the simplest and easiest ways to recreate these characters and their special clothing with all their unique details.The course also delves into the history of art and clothing styles, enabling you to enter that world easily. You will learn how to observe and analyze male and female clothing styles from different countries and cultures through time, figure painting, patterns, doodle drawing, detailed line drawing, and how to use negative space techniques.Observation is a crucial tool in understanding different subjects and finding the easiest way to simplify their forms and work on them. A good observation allows you to include all definitive details that add more to your work. After a good observation, the course teaches you how to simplify the forms and include the details using different techniques based on the tools and materials used for each work. Each country and culture has unique details, and the course teaches you how to detect, analyze, and draw them.The course is designed for both beginners and experienced art lovers who enjoy delving into new realms of art and experiencing more. With access to 37 HD tutorials and FREE additional resources, you will master different tools and materials such as fine liners, markers, color pencils, watercolors, and brushes, and how t use them on different character drawings, modern and traditional style clothing, different style and theme, and creating specific material textures.In summary, this course provides a holistic approach to studying clothing styles from different cultures worldwide using simplified methods and even going a few steps forward and learning about different cultures and their architecture and how to use those effects or actual buildings, get inspiration and use them on new cloth drawing.Join us today and gain access to an immersive learning experience that caters to beginners and experienced art lovers alike. Overview Section 1: Art Movements Lecture 1 Clothing Analysis and Movement in Art Lecture 2 Introduction to Clothing in Different Cultures Section 2: Armenia Lecture 3 Female Clothing Study Drawing: Armenia Lecture 4 Male Clothing Study Drawing: Armenia Lecture 5 Armenia Clothing Pattern with Organised Doodle Technique Lecture 6 Armenian Clothing Patterns with Fast Sketch Technique Lecture 7 Armenian Clothing Patterns: Adding Color Lecture 8 Clothing Patterns with Advanced Line Drawing Lecture 9 Fast Figure Drawing Sketches Lecture 10 Advanced Style Clothing Design with Architectural Elements - Part 1 Lecture 11 Advanced Style Clothing Design with Architectural Elements - Part 2 Section 3: India Lecture 12 Female Clothing Study with Color Pencil India - Part 1 Lecture 13 Female Clothing Study with Color Pencil India - Part 2 Section 4: Thailand Lecture 14 Female Clothing Study with Color Pencil: Thailand Lecture 15 Male Clothing with Pen, Color Pencil and Hatching style Thailand - Part 1 Lecture 16 Male Clothing with Pen, Color Pencil and Hatching style Thailand - Part 2 Lecture 17 Male Clothing Study with Pen and Marker Block Style: Thailand Lecture 18 Male Clothing Line Drawing with Marker: Thailand Section 5: England Lecture 19 Female Monarch Style Drawing and Coloring: England Lecture 20 Block Style Female Monarch Drawing with Marker: England Lecture 21 The Queen Elizabeth I Drawing and Coloring England - Part 1 Lecture 22 The Queen Elizabeth I Drawing and Coloring England - Part 2 Lecture 23 The Queen Elizabeth I Drawing and Coloring England - Part 3 Section 6: Scotland Lecture 24 Male and Female Traditional Clothing Design for Dance: Scotland Lecture 25 Modern Clothing Design for Dance Male and Female: Scotland Section 7: Chile Lecture 26 Male Clothing Study, Drawing and Coloring: Chile Section 8: America Lecture 27 Female Traditional Dress Evolution: America Lecture 28 Drawing and Coloring Male Figure Native America - Part 1 Lecture 29 Drawing and Coloring Male Figure Native America - Part 2 Section 9: Saudi Arabia Lecture 30 Traditional Clothing Study Saudi Arabia - Part 1 Lecture 31 Traditional Clothing Study Saudi Arabia - Part 2 Section 10: Netherlands Lecture 32 Male and Female Clothing Design: Traditional Netherland Section 11: South Africa Lecture 33 Advanced Line Drawing with Traditional Clothing Design: South Africa Lecture 34 Traditional Clothing Design Examples: South Africa Section 12: China Lecture 35 Female Traditional Clothing Study with Watercolor China - Part 1 Lecture 36 Female Traditional Clothing Study with Watercolor China - Part 2 Lecture 37 Female Traditional Clothing Design Variations China - Part 1 Lecture 38 Female Traditional Clothing Design Variations China - Part 2 Section 13: Japan Lecture 39 Male Traditional Clothing Design with Watercolor Japan - Part 1 Lecture 40 Male Traditional Clothing Design with Watercolor Japan - Part 2 Section 14: South Korea Lecture 41 Male Traditional Clothing Style Study: Korea Lecture 42 Royal Imperial Male Clothing Design: Korea Lecture 43 Royal Imperial Female Clothing Design: Korea Section 15: Russia Lecture 44 Female Traditional Clothing Design with Watercolor Russia - Part 1 Lecture 45 Female Traditional Clothing Design with Watercolor Russia - Part 2 Section 16: Persia Lecture 46 Traditional Female Clothing Design: Persia Lecture 47 Traditional Couple Clothing Design Persia - Part 1 Lecture 48 Traditional Couple Clothing Design Persia - Part 2 Art lovers,Art students,Anyone who wishes to learn drawing characters and different clothing styles,University student Screenshots [Hidden Content]] Homepage [Hidden Content]? 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Published 7/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 963.69 MB | Duration: 2h 3m Risk Measurement Essentials: Detailed Approaches for Modern Industries, Strategies, Tools, and Techniques for Success. What you'll learn Importance of risk measurement across various industries. Basics of probability and statistics relevant to risk measurement. Risk Measurement in Financial Markets. Risk Measurement in Non-Financial Contexts. Qualitative and Quantitative Risk Assessment Methods. Scenario analysis and stress testing techniques. Advanced statistical methods such as copula models and extreme value theory. Operational Risk Measurement. Importance of regulatory compliance and risk reporting. Risk Management and Mitigation Strategies. Industry Applications and Case Studies. Future Trends in Risk Measurement. Requirements Willingness or Interest to learn about Risk Measurement. Description IMPORTANT NOTICE BEFORE YOU ENROLL:This course is not a replacement for the official materials you need for the certification exams. It is not endorsed by the certification vendor. You will not receive official study materials or an exam voucher as part of this course.In today's complex and dynamic environment, understanding and measuring risk is crucial for effective decision-making across various industries. My comprehensive course, "Mastering Risk Measurement: From Fundamentals to Advanced Techniques," is designed to equip participants with a deep understanding of risk measurement principles, tools, and applications.Risk measurement is the process of identifying, quantifying, and assessing the potential risks that an organization or individual might face. This involves evaluating the likelihood of adverse events occurring and the potential impact of these events on the objectives of the entity involved. The goal of risk measurement is to provide a systematic and analytical basis for understanding risk, enabling informed decision-making, risk management, and mitigation strategies.The course begins with an introduction to risk measurement, delving into the definition and types of risk, and highlighting the importance of risk measurement in industries such as finance, healthcare, and environmental management. We then explore the historical evolution of risk measurement techniques, identifying key milestones and developments that have shaped modern practices.Participants will gain a solid foundation in key concepts of risk measurement, including the distinction between risk and uncertainty, and essential probability and statistics basics. The course covers various types of risks encountered in financial markets-market, credit, and operational risks-along with project, environmental, and health and safety risks in non-financial contexts.We provide an in-depth look at qualitative and quantitative risk assessment methods, including expert judgment, risk matrices, Value at Risk (VaR), Conditional Value at Risk (CVaR), probability distributions, and Monte Carlo simulations. Additionally, scenario analysis and stress testing are explored, emphasizing their definition, importance, and how to design effective scenarios and stress tests.Advanced statistical techniques, such as copula models and extreme value theory, are introduced, along with the growing role of machine learning in risk measurement. The course also covers specialized models for credit risk measurement, including credit scoring and credit portfolio risk models, as well as methods for measuring operational risk through loss distribution and scenario-based approaches.A critical aspect of the course is the examination of regulatory frameworks and standards, including the Basel Accords, Solvency II, ISO 31000, and the COSO framework. Participants will understand the importance of regulatory compliance, risk disclosure, and reporting in maintaining industry standards and practices.Risk management and mitigation strategies are also addressed, encompassing risk avoidance, transfer, and mitigation techniques. The course highlights the significance of hedging and diversification, and explores the role of insurance as a risk management tool.Real-world industry applications and case studies provide practical insights into risk measurement practices in banking, healthcare, and environmental management, featuring analyses of the 2008 Financial Crisis, managing pandemic risks, and assessing climate change risks.Finally, we look ahead to future trends in risk measurement, including innovations such as blockchain technology and big data analytics, preparing participants for emerging challenges and opportunities in the field.Risk measurement is essential in various industries, including finance, healthcare, environmental management, and project management. By accurately measuring risks, organizations can develop strategies to mitigate adverse effects, optimize risk-taking, and enhance overall resilience and performance.By the end of this course, participants will have a comprehensive understanding of risk measurement techniques, tools, and their applications across different industries, empowering them to make informed decisions and effectively manage risks in their professional roles.Thank you Overview Section 1: Introduction to Risk Measurement Lecture 1 Understanding Risk Lecture 2 Historical Perspective on Risk Measurement Section 2: Fundamentals of Risk Measurement Lecture 3 Key Concepts in Risk Measurement Lecture 4 Measuring Risk in Financial Markets Lecture 5 Risk Measurement in Non-Financial Contexts Section 3: Risk Measurement Tools and Techniques Lecture 6 Qualitative Risk Assessment Methods Lecture 7 Quantitative Risk Assessment Methods Lecture 8 Statistical Models in Risk Measurement Lecture 9 Scenario Analysis and Stress Testing Section 4: Advanced Risk Measurement Techniques Lecture 10 Advanced Statistical Techniques Lecture 11 Machine Learning in Risk Measurement Lecture 12 Credit Risk Measurement Models Lecture 13 Measuring Operational Risk Section 5: Regulatory Frameworks and Standards Lecture 14 Risk Measurement and Regulatory Requirements Lecture 15 Risk Measurement Standards Lecture 16 Compliance and Risk Reporting Section 6: Risk Management and Mitigation Strategies Lecture 17 Risk Management Strategies Lecture 18 Hedging and Diversification Lecture 19 Insurance as a Risk Management Tool Section 7: Industry Applications and Case Studies Lecture 20 Risk Measurement in Banking Lecture 21 Risk Measurement in Healthcare Lecture 22 Risk Measurement in Environmental Management Section 8: Future Trends in Risk Measurement Lecture 23 Innovations in Risk Measurement Finance Professionals: Risk managers, analysts, and financial advisors seeking to deepen their understanding of risk measurement techniques in financial markets.,Project Managers: Professionals responsible for managing and mitigating risks in project planning and execution.,Business Executives and Decision Makers: Leaders who need to understand risk management to make informed strategic decisions.,Regulatory and Compliance Officers: Individuals ensuring that organizations adhere to risk-related regulatory requirements and standards.,Healthcare Administrators and Managers: Professionals involved in managing risks related to healthcare delivery and operations.,Environmental Managers and Sustainability Professionals: Those responsible for assessing and managing environmental risks and implementing sustainable practices.,Students and Academics: Individuals studying risk management, finance, or related fields who want to gain practical and theoretical knowledge in risk measurement.,Data Scientists and Analysts: Professionals interested in applying statistical models and machine learning techniques to risk measurement.,Insurance Professionals: Underwriters, claims adjusters, and risk assessors who need to measure and manage various types of risks in the insurance industry.,Anyone Interested in Risk Management: Individuals looking to enhance their skills and knowledge in risk measurement and management across different industries. 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Last updated 5/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 12.83 GB | Duration: 12h 3m Become a Computer Vision Guru, Implement object detection, tracking and recognition using OpenCV4, Dlib & Deep Learning What you'll learn Become a Master Computer Vision Programmer by learning from the field experts. Start from the ground up by Coding Image Processing basics i.e. (Image access and manipulations) Make your CV Projects interactive by learning to utilize Trackbars and Mouse Events Deep-dive into CV_101 topics i.e. (Transformations, Filtering, Segmentation, Contours and Features ) Conquer advanced techniques like Object detection, Object Tracking, Object Recognition Understand, Train and deploy Haar Cascade and YOLOv3 for Object detection Perform Single Object Tracking using CSRT, KCF etc. and Multi-Object Tracking using DeepSort. Implement and compare Simple Face-Recognizers like LBP, FisherFaces with highly accurate dlib Implementation. Secure Access: Create a python executable that only allows access on your pc to authorized personnel's through a complete end-to-end development. Requirements Python basic Programming Description This course is your ultimate guide for entering into the realm of Computer Vision. We will start from the very basics i.e Image Formation and Characteristics, Perform basic image processing (Read/Write Image & Video + Image Manipulation), make CV applications interactive using Trackbars and Mouse events, build your skillset with Computer Vision techniques (Segmentation, Filtering & Features) before finally Mastering Advanced Computer Vision Topics i.e Object Detection, Tracking, and recognition. Right at the end, we will develop a complete end-to-end Visual Authorization System (Secure Access). The course is structured with below main headings.Computer Vision FundamentalsImage Processing Basics (Coding)CV-101 (Theory + Coding)Advanced [Detecion] (Theory + Coding)Advanced [Tracking] (Theory + Coding)Project: PeopleTrackr ( Crowd Monitoring System )Advanced [Recognition] (Theory + Coding)Project: EasyAttend ( Live Attendance System )Project: Secure Access (End-to-end project development & deployment)GoodbyeFrom Basics to Advanced, each topic will accompany a coding session along with theory. Programming assignments are also available for testing your knowledge. Python Object Oriented programming practices will be utilized for better development.Learning Outcomes - Computer VisionRead/Write Image & Video + Image ManipulationInteractive CV applications with Trackbars & MouseEventsLearn CV Techniques i.e (Transformation, Filtering, Segmentation, and Features)Understand, train, and deploy advanced topics i.e (Object Detection, Tracking, and Recognition) Test your knowledge by completing assignments with each topic. [Project-1] PeopleTrackr: Crowd Monitoring System [Project-2] EasyAttend: Live attendance System for Classrooms and offices.[Final-Project] Secure Access: End-to-end Visual Authorization System for your Computer.- AlgorithmsFacial recognition algorithms like LBP and Dlib-ImplementationLBP (Fast-Less accurate)Dlib-Implementation (Slow-Accurate)Single Object TrackersCSRT, KCFMultiple Object TrackersDeepSort (Slow-Accurate)Object DetectionHaar Cascades (Fast-Less accurate)YoloV3 (Slow-Accurate)Computer Vision TechniquesSift | Orb Feature MatchingCanny Edge detectionBinary, Otsu, and Adaptive ThresholdingKmeans SegmentationConvex hull ApproximationPre-Course RequirmentsSoftware BasedOpenCV4PythonSkill BasedBasic Python ProgrammingMotivated mind :)All the codes for reference are available on the GitHub repository of this course.Get a good idea by going through all of our free previews available and feel free to contact us in case of any confusion :) Overview Section 1: Prerequisites Lecture 1 GitHub Resources And Dependencies Lecture 2 Environment Setup Section 2: Introduction Lecture 3 Computer Vision Fundamentals Section 3: Image Processing Basics Lecture 4 Reading/Writing image and Videos in OpenCV (Coding) Lecture 5 Image Manipulation (Coding) Lecture 6 Important Functions (Coding) Lecture 7 Make CV Applications Interactive #1 : Trackbars Lecture 8 Make CV Applications Interactive #2 : MouseEvents Section 4: CV-101 Lecture 9 Image Transformations (Theory) Lecture 10 Image Transformations (Coding) Lecture 11 Image Filtering (Theory) Lecture 12 Image Filtering (Coding) Lecture 13 Image Segmentation (Theory) Lecture 14 Image Segmentation (Coding) Lecture 15 Image Contours (Theory) Lecture 16 Image Contours (Coding) Lecture 17 Image Features - Keypoints (Theory) Lecture 18 Image Features - Keypoints (Coding) Lecture 19 Image Features - Descriptors (Theory) Lecture 20 Image Features - Descriptors (Coding) Lecture 21 Feature Matching Section 5: Advanced ( Detection ) Lecture 22 Object detection (Theory) Lecture 23 Haar Cascades (Theory) - Object Detection Lecture 24 Training a Custom Haar Cascade detector (Coding) - Object detection Lecture 25 Detection Using Haar Cascade (Coding) - Object Detection Lecture 26 YOLO (Theory) - Object detection Lecture 27 Detection Using YOLO in OpenCV (Coding) - Object detection Lecture 28 Training YOLO on a Custom Dataset (Coding) - Object detection Section 6: Advanced (Tracking) Lecture 29 What is Object Tracking? Lecture 30 Single Object Tracking (Theory) - Comparison Lecture 31 Single Object Tracking (Coding) Lecture 32 Multiple Object Tracking (T + C) Lecture 33 MOT: DeepSort (Theory) Lecture 34 MOT: DeepSort (Setup) - Environment Setup Lecture 35 MOT: DeepSort (Theory) - Algorithm Overview Lecture 36 MOT: DeepSort (Coding) Section 7: Project 1: PeopleTrackr Lecture 37 Feature 1: Live-People-Counter Lecture 38 Feature 2: Displaying trajectories Lecture 39 Feature 3: Focus On Suspicious Individual Section 8: Advanced (Recognition) Lecture 40 What is Image Recognition? Lecture 41 Face Recognition OpenCV (Theory) - Comparison Lecture 42 Face Recognition OpenCV (Coding) Section 9: Project 2: Live Attendance System Lecture 43 Part A: Workflow and Dataset Acquisition Lecture 44 Part B: Implementation Section 10: Final Project : Secure Access Lecture 45 Part A: Face Detection Lecture 46 Part B: Tracking Lecture 47 Part C: Alignment & Representation Lecture 48 Part D: Matching Lecture 49 Part E: MultiProcessing Section 11: Goodbye Lecture 50 Message to Students Beginner Python developers curious about Computer Vision,Undergrads wanting to investigate/opt-in to Computer Vision,University Graduates looking to add Computer Vision in their skillset,Computer Vision Programmers wanting to brush up on some basics Screenshots

Published 7/2024 Created by Sebastian Flores MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 53m ) | Size: 978 MB python web development for beginners What you'll learn: Learn to create dynamic data driven website and applications with Python Learn to utilize Flask Create a login and registration system Complete an entire web application from scratch Requirements: Basic python is required Description: Unlock the power of web development with "Make Websites With Python The Easy Way"-a hands-on, beginner-friendly course designed to teach you how to build dynamic websites using Python and Flask!Whether you're a complete novice or an aspiring web developer looking to expand your skill set, this course will guide you through the essentials of creating a fully functional website from scratch. You'll learn how to leverage the simplicity and flexibility of Flask, a lightweight Python web framework, to build engaging web applications with ease.- We start with the very basics showing you routes and how to switch between pages.- Then learn how to create pages using bootstrap- Learn how create databases and use database management software to create and manipulate data- Create a login and registration system and show pages only if users are logged in.With this you will have the building blocks to create websites using python and the sky is the limit. You can take what I teach you here to create the base for a blog, social media website, or any website of your choosing. Take the steps you need to up your skills and join the word of web development with our new course that takes you from just a python developer to a full stack python web developer. See you in class Who this course is for: beginner python developers beginner website developers beginner programmers Homepage

Last updated 2/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.03 GB | Duration: 6h 3m Look at math from a new perspective | Overcome Math phobia | Uncover patterns and solve problems using logic What you'll learn How to do arithmetic computations like addition, subtraction, multiplication and division faster Short cuts for solving arithmetic problems A refreshingly new way to solve arithmetic problems Help to overcome maths phobia Requirements None. Description Everything in life is a pattern. "Mathematics is a science of patterns", Ian Stewart (British Mathematician).In logical reasoning, you learn to uncover the patterns and solve the problems. The topics have been presented in the form of questions, discussion on the options and explanation of the best possible solution (answer). In all, we have covered nearly 80 questions and discussions on the same.With this update, this course becomes a 2-in-1 course: Both Smart/Vedic Math and Logical Reasoning areas are covered in a single course.Smart Math/Vedic Math: Many people struggle with math and basic arithmetic operations like addition, subtraction, multiplication and division. Some of them even develop a phobia of mathematics. This course covers many shortcuts to do such arithmetic computations faster & more accurately. At its core, this course makes learners to look at arithmetic operations from a new perspective.In addition to basic arithmetic operations, operations involving . squares. square roots . fractions. percentages and . square roots of larger numbers & decimals are also covered. A cool technique to verify the answer is also part of this program.Smart mathematics techniques provide you with such a pathway where it focuses on the mental aspect of calculation as you learn to solve within seconds, making it effective and the process enjoyable.Learning these techniques are going to put you at an advantage in terms of yourAcademic performanceAssessing numbers efficientlyMental calculationsCareer or in professional spaceDuring competitionsTo see the real beauty of the worldSmart mathematics is a tool for understanding math in a simple way and so it strengthens our basics so strongly and in an effective way that other processes of math become way more simplified.Smart mathematics is for everyone, be it a teacher or a student or anybody who is interested to learn something useful and fun can benefit from this course. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Logical Reasoning Concepts Lecture 2 Different types of logical reasoning approaches Lecture 3 What can be inferred and what cant be inferred Lecture 4 Causation Vs Correlation Lecture 5 Logical Fallacies Section 3: Logical Reasoning Exercises Lecture 6 Find the missing number Lecture 7 Alphabet Series Lecture 8 Coding and Encoding Lecture 9 Verbal Classification Lecture 10 Cause & Effect Lecture 11 Analogies Lecture 12 Logical Sequence Lecture 13 Data Sufficiency Lecture 14 Conditional Logical Problems Section 4: Smart Math Basic Program Lecture 15 The Fundamentals in Smart Maths Lecture 16 Multiplication by Complimentary Method Lecture 17 Multiplication by Vertical and Crosswise Method Lecture 18 Multiplication by 9 and 11 Lecture 19 Doubling Lecture 20 Number Splitting Lecture 21 Square Roots Lecture 22 Squaring Lecture 23 Fractions Lecture 24 Mental addition and subtraction Lecture 25 Digit Sum Lecture 26 Conclusion for basic Section 5: Smart Math Advanced Program Lecture 27 introduction Lecture 28 Multiplication when first digit is the same Lecture 29 Advanced Complimentary Method Lecture 30 Variation of Crosswise Method Lecture 31 Multiplication around the average Lecture 32 Division Lecture 33 Division by numbers ending in 9 Lecture 34 Square roots of decimals and bigger numbers Lecture 35 Triplets Lecture 36 Percentages Lecture 37 Conclusion Section 6: Bonus Lecture 2 Lecture 38 Bonus Lecture School Students,Those preparing for competitive and entrance exams,Anyone with a passion for numbers Screenshots

Published 7/2024 Created by Emilio Aguero MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 127 Lectures ( 15h 7m ) | Size: 17.7 GB Learn the Foundations of Information Technology...and become a IT Pro! What you'll learn: Understand computer hardware components, operating systems, networking, servers, storage, and virtualization. Learn about hardware types, internals, troubleshooting, OS installation, and networking protocols. Explore server management, domain configurations, DNS, and storage capacity concepts. Gain insights into virtualization technologies, deployment models, and cloud strategies. Master backup fundamentals, including backup types, software, media, and cloud backup strategies. Develop skills in interview preparation, CV writing, and resignation processes for career advancement. Requirements: Passion to learn more about Tech Basic computer literacy and understanding of computer usage, including navigating operating systems and using common software applications. Basic knowledge of computer hardware components such as CPUs, memory, storage devices, and peripheral devices like keyboards and mice would be beneficial. Description: Welcome to the 'IT Mastery: Your Ultimate Tech Handbook' training course! I'm Emilio and I work in tech, and absolutely love it!In this course, we invite you to embark on a journey through the world of information technology. Designed to be your go-to resource for mastering essential IT concepts, this course offers a comprehensive exploration of key topics that form the backbone of modern technology infrastructure. Whether you're starting out and eager to build a solid foundation or a seasoned professional seeking to deepen your expertise, our course aims to equip you with the knowledge and skills necessary to navigate the ever-evolving landscape of IT with confidence and proficiency. By the end of this course, you'll emerge not only with a newfound knowledge of information technology but also with the confidence and expertise needed to tackle real-world challenges head-on.Some of the key topics we'll cover include -Computer Hardware: Explore different computer types, internal and external components, memory, CPUs, graphics cards, hard drives, and troubleshooting techniques.Operating Systems & Software: Understand OS types, boot processes, CLI versus GUI, software types, installation procedures, and troubleshooting strategies.Networking & Data Centers: Gain insights into computer communication, IP addressing, network devices, LANs and WANs, ports, cables, and data center infrastructure.Server Administration & Storage Solutions: Learn about server management, storage capacity measurements, types of storage devices, and backup strategies.Virtualization Technologies: Explore server and desktop virtualization, deployment models, and cloud integration.Cybersecurity Essentials: Understand threat types, malware, encryption, firewall security, VPNs, and password security.Professional Skills: Receive guidance on interviewing, CV writing, resignation processes, and career opportunities in the technology industry.Whether you find yourself at the threshold of your IT journey, eager to lay a sturdy groundwork, or you're a seasoned professional yearning to delve deeper into the nuances of the field, we'll make you a pro.Let the learning begin! Emilio Who this course is for: Students and beginners: Those who are new to IT and want to build a strong foundation in computer hardware, operating systems, networking, and other essential IT concepts. IT professionals: Professionals already working in IT roles who wish to expand their knowledge and skills in specific areas such as networking, servers, storage, virtualization, and backups. Job seekers: Individuals preparing for IT job interviews and seeking guidance on CV writing, interview preparation, and career advancement strategies. Homepage

Published 7/2024 Created by ART PROGRAMS MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9 Lectures ( 7h 9m ) | Size: 5.6 GB Create your own online store What you'll learn: Learn how to work with Firebase Learn how to create your own store Learn how to work with Hive Learn how to work with SharedPreferences Requirements: Basic knowledge of Dart and Flutter Description: Welcome to our comprehensive tutorial on building an E-commerce app using Flutter! In this video, we'll take you step-by-step through the process of creating a powerful and scalable E-commerce application. We'll be using Flutter for the UI, Firebase for backend services, Hive for local storage, and SharedPreferences for storing simple data.Here's what you'll learn:Setting Up Flutter: We'll begin by setting up the Flutter environment and creating a new project.Firebase Integration: Learn how to connect your app to Firebase for authentication, real-time database, and cloud storage.Local Storage with Hive: Discover how to use Hive, a lightweight and fast key-value database for offline data storage.Using SharedPreferences: Understand how to implement SharedPreferences for persisting simple data like user preferences and app settings.Building E-commerce Features: We'll cover key functionalities such as product listings, shopping cart, user authentication, and the checkout process.Best Practices: Get tips and tricks for optimizing your app's performance and ensuring a seamless user experience.By the end of this video, you'll have a fully functional E-commerce app and the skills to further expand and enhance it. Whether you're a beginner or an experienced developer, this tutorial is packed with valuable insights.Good luck in your studies! Who this course is for: Basic and advanced knowledge in Flutter and Dart Homepage

Published 7/2024 Created by Learn Anything L-A MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33 Lectures ( 3h 10m ) | Size: 1.42 GB Learn Python from zero to complete by building real programs to gain the skills needed to land an entry-level job. What you'll learn: Python Fundamentals: Gain a solid foundation in Python syntax, data structures, and basic programming concepts, including classes, functions, and loops. Advanced Python: Dive deeper into object-oriented programming, error handling, and advanced data manipulation techniques. Working with Dates and Times: Master the datetime module to manipulate dates, times, and calendars effectively. Exception Handling: Learn how to handle errors gracefully and debug your programs with confidence. Data Science and Machine Learning: Analyze data, create visualizations, and build predictive models with libraries like Pandas, Matplotlib, and Scikit-learn. Project-Based Learning: Apply your skills in real-world projects, including web apps, data analysis tasks, and machine learning models. Requirements: No prior programming experience is required; this course is suitable for beginners. A computer (Windows, macOS, or Linux) with an internet connection. Basic computer literacy, including familiarity with installing software and navigating the file system. A willingness to learn and a proactive approach to tackling coding challenges. Description: Unlock the full potential of Python with The Complete Python Pro Bootcamp! Whether you're a complete beginner or an experienced coder looking to sharpen your skills, this comprehensive course has everything you need to become a Python pro. Python is one of the most popular and versatile programming languages in the world, known for its simplicity and readability, making it an excellent choice for both newcomers and seasoned developers. This course is designed to guide you step-by-step through the Python language, starting with the very basics and gradually progressing to more advanced topics.You'll begin by learning the fundamental concepts of Python, such as variables, data types, and control structures, which will lay a strong foundation for your coding journey. As you advance, you'll explore more complex topics, including object-oriented programming, error handling, and working with modules and libraries. By the end of the course, you'll have a thorough understanding of Python's capabilities and be able to write efficient, clean, and professional code.The Complete Python Pro Bootcamp also includes practical projects and exercises that will help you apply your knowledge in real-world scenarios. You'll have the opportunity to build dynamic web applications using Flask, automate tasks with scripts, and manipulate data using powerful Python libraries like Pandas and NumPy. These hands-on projects are designed to reinforce your learning and give you the confidence to tackle your own Python projects.Throughout the course, you'll receive expert instruction and support, ensuring that you fully grasp each concept before moving on to the next. Whether your goal is to start a career in programming, develop your own software, or simply gain a valuable new skill, The Complete Python Pro Bootcamp will provide you with the tools and knowledge you need to succeed. Join us today and take the first step towards mastering Python! Who this course is for: Beginners: No prior programming experience needed; we'll start from the very basics. Intermediate Coders: Enhance your skills and fill in any gaps in your knowledge. Advanced Programmers: Take your Python expertise to the next level with advanced topics and projects. Aspiring Data Scientists: Learn the essential Python skills needed for data analysis and machine learning. Web Developers: Add Python to your skill set and build dynamic web applications. Homepage

Published 7/2024 Created by Jiji Alex MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 65 Lectures ( 5h 59m ) | Size: 2.76 GB Advanced Course On Cloud Dataflow and Apache Beam - Architecture, Transformations, Schema, Beam SQL, Dataflow Templates What you'll learn: Apache Beam Architecture All the Features of Apache Beam Detailed study of Cloud Dataflow Practice sessions which demonstrates each of the topics All the materials including Java project bundles for quick practice Requirements: Basic knowledge of Java to learn Apache Beam and understanding of Google Cloud Platform for better understanding of Cloud Dataflow Description: This is an advanced course on Apache Beam and Google Cloud Dataflow. This course is suitable for students of All levels. Basic Java knowledge is sufficient to start this course. Every concept is provided with practice sessions which will provide confidence to work on such projects where these technologies are used. Following are some of the important sections in this training,Apache Beam overviewWorking with beam pipelinesPipeline optionsUser Defined Functions using ParDoGroupByKeyCoGroupByKeyAggregate data using Combine functionMerge Data using FlattenGenerate Multiple Dataset using MultiOutputUse Side InputsSchema in Apache beam - Filter, Group and Join the data using SchemaStateful pipelines using State and TimerAdd Custom Metrics to your pipelineBeam SQL - use simple SQLs to build beam pipelinesSplittable DoFnWindowing in Apache Beam - Fixed time, Sliding , Global, SessionWatermark and TriggersLearn basics of Cloud computing platformsCloud Dataflow  - Know about the Managed Apache Beam runner from Google Cloud PlatformRun your pipeline in Cloud DataflowHow to use built in Templates - introducing the wide variety of built-in templates provided by Google Cloud DataflowCustom templates using Classic and Flex mode - Build custom templates using the beam pipelines created in the beam practice Who this course is for: This is very useful for people who are new to Apache Beam and Cloud Dataflow and also to those who are working on these technologies Homepage

Last updated 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.89 GB | Duration: 1h 42m Dog Training Techniques for Obedience, Behavior, Socialization, and Positive Reinforcement What you'll learn Build a stronger bond with your dog Eliminate dog reactivity Stop pulling on the lead Build focus and engagement outside of the home Requirements No experience needed. This course is for beginners. Description Unlock the secrets to a well-behaved and happy canine companion with our thoughtfully crafted Dog Training Course. This program is tailored to guide you through the fascinating process of understanding and molding your dog's behavior, ensuring a mutually rewarding relationship.Our course delves into the unique personality of your dog. By recognizing and appreciating your dog's individual traits, you can tailor your training approach for optimal results. Next, we help you clarify your training objectives, setting a clear path to success with realistic and achievable goals.Communication is key in any relationship, and our course offers in-depth training on using a marker system to communicate effectively with your dog. This technique is invaluable in shaping desired behaviors.Building focus and engagement, especially in the distracting environment outside your home, is covered comprehensively. We explore methods to capture your dog's attention and maintain their interest in learning.Motivation is the fuel for effective training, and our course teaches you how to tap into your dog's natural drives to promote enthusiastic participation. We'll tackle the challenging aspects of reactivity and anxiety, providing you with strategies to manage and alleviate these common issues.Advanced training techniques, such as luring and heeling, are broken down into step-by-step instructions, making it easy for you and your dog to master these skills. Lastly, we focus on teaching your dog how to problem-solve, which encourages mental stimulation and adaptability.Join our course to embark on a transformative journey that will empower you to cultivate a trusting and responsive relationship with your dog. Overview Section 1: Introduction Lecture 1 Introduction: Who is Andrej from ZVER Canine? Section 2: Module 1 - Where to begin? Lecture 2 Who Is Your Dog? Lecture 3 What Are Your Goals? Lecture 4 Mindset Of The Handler Lecture 5 Equipment Lecture 6 Rewards Lecture 7 Hand Feeding Only Section 3: Module 2 - Communication Lecture 8 Why Do We Need a Communication System? Lecture 9 What Is Marker Training? Lecture 10 Charging Markers Lecture 11 Difficulty Layering Lecture 12 Adding Distractions Section 4: Module 3 - Building Focus & Engagement Lecture 13 Why Does Your Dog Ignore You? Lecture 14 Correct Socialisation Lecture 15 NO Dog Parks Lecture 16 Motivation Lecture 17 Play Lecture 18 Mental Thresholds Section 5: Module 4 - The Recall Lecture 19 Why Is The Recall So Important? Lecture 20 Why Does Your Dog Not Want To Be With You? Lecture 21 Recall Training Section 6: Module 5 - Luring & Freeshaping Lecture 22 What Is Luring? Lecture 23 Mastering The Lure Lecture 24 What Is Free Shaping? Lecture 25 Mastering Free Shaping Section 7: Module 6 - Positioning & Place Lecture 26 Sit & Down Lecture 27 Heel Lecture 28 Place Section 8: Module 7 - Loose Lead Walking Lecture 29 Lead Use Essentials Section 9: Module 8 - Reactivity & Anxiety Lecture 30 Why Is Your Dog Reactive? Lecture 31 Fixing Reactivity Lecture 32 Anxiety Dog owners wanting to learn how to become better handlers. Screenshot

Published 7/2024 Created by Henrik Johansson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 27 Lectures ( 17h 2m ) | Size: 7.1 GB Learn Data Science Methods and Techniques for Data Analysis and Machine Learning[2024] What you'll learn: Knowledge about Data Science methods, techniques, theory, best practices, and tasks Deep hands-on knowledge of Data Science and know how to handle common Data Science tasks with confidence Detailed and deep Master knowledge of Regression, Prediction, Classification, Supervised Learning, Cluster Analysis, and Unsupervised Learning Hands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python libraries Advanced knowledge of A.I. prediction models and automatic model creation Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources Requirements: Basic knowledge of the Python programming language and preferably the Pandas library The four ways of counting (+-*/) Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended Access to a computer with an internet connection Description: Welcome to the course Data Science Methods and Techniques for Data Analysis and Machine Learning!Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Techniques to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a large selection of Data Science methods and techniques, which will give you an excellent foundation for Data Science jobs and studies. This course has exclusive content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist, Data Analyst, or Machine Learning Engineer.This is a three-in-one master class video course which will teach you to master Regression, Prediction, Classification, Supervised Learning, Cluster analysis, and Unsupervised Learning.You will learn to master Regression, Prediction and supervised learning. This course has the most complete and fundamental master-level regression content packages on Udemy, with hands-on, useful practical theory, and also automatic Machine Learning algorithms for model building, feature selection, and artificial intelligence. You will learn about models ranging from linear regression models to advanced multivariate polynomial regression models.You will learn to master Classification and supervised learning. You will learn about the classification process, classification theory, and visualizations as well as some useful classifier models, including the very powerful Random Forest Classifiers Ensembles and Voting Classifier Ensembles.You will learn to master Cluster Analysis and unsupervised learning. This part of the course is about unsupervised learning, cluster theory, artificial intelligence, explorative data analysis, and some useful Machine Learning clustering algorithms ranging from hierarchical cluster models to density-based cluster models.You will learnKnowledge about Data Science methods, techniques, theory, best practices, and tasksDeep hands-on knowledge of Data Science and know how to handle common Data Science tasks with confidenceDetailed and deep Master knowledge of Regression, Prediction, Classification, Supervised Learning, Cluster Analysis, and Unsupervised LearningHands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeAnd much more.This course includesan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding taskcontent that will teach you many new things, regardless of if you are a beginner or an experienced Data Scientist, Data Analyst, or Machine Learning Engineera large collection of unique content, and this course will teach you many new things that only can be learned from this course on Udemya course structure built on a proven and professional framework for learning.a compact course structure and no killing timeThis course is an excellent way to learn to master Regression, Prediction, Classification, and Cluster analysis!These are the most important and useful tools for modeling, AI, and forecasting.Is this course for you?This course is for you, regardless if you are a beginner or an experienced Data ScientistThis course is for you, regardless if you have a Ph.D. or no education or experience at allThis course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Regression, Prediction, Classification, Supervised Learning, Cluster analysis, and unsupervised learning.Course requirementsBasic knowledge of the Python programming language and preferably the Pandas libraryThe four ways of counting (+-*/)Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 15+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course! Who this course is for: This course is for you, regardless if you are a beginner or an experienced Data Scientist This course is for you, regardless if you have a Ph.D. or no education or experience at all Homepage

Published 7/2024 Created by Pamch Tutor M.Ed MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 81 Lectures ( 10h 54m ) | Size: 5 GB Learn problem-solving skills with Dynamic Arrays (SEQUENCE, SORTBY, FILTER,etc), XLOOKUP, HLOOKUP, VLOOKUP, INDEX-MATCH What you'll learn: Master the Dynamic array functions - UNIQUE, OFFSET, FILTER, SORT, SORTBY, RANDARRAY, and SEQUENCE function Discover the power of combining INDEX and MATCH functions for advanced lookup tasks. Learn the versatile features of XLOOKUP, XMATCH Combine SEQUENCE, RANDARRAY, SORTBY, INDEX to generate random array of data Dynamically creating a calendar - SEQUENCE and DATE and WEEKDAY Mapping Data with VLOOKUP and INDIRECT function Discover the beauty of using VLOOKUP and INDIRECT function Learn to retrieve data from horizontal tables with HLOOKUP. Discover how to use VLOOKUP for both exact and approximate matches. Understand how to use CHOOSE, TRANSPOSE, COLUMN, COLUMNS, ROW, ROWS functions Reverse a list with SEQUENCE, INDEX, ROWS functions Requirements: You must already know how to use Microsoft Excel You must already know how to write Microsoft Excel Formula and Functions You SHOULD use Excel 2021/365 software for this course Description: Hello and welcome to our comprehensive course on Master Excel's XLOOKUP, XMATCH, HLOOKUP, VLOOKUP, INDEX-MATCH! Right in this course, you will get to understand the New Excel 365/Excel 2021 Dynamic Array Functions - SORT function, FILTER function, RANDARRAY function, SEQUENCE function, UNIQUE function, XLOOKUP function, SORTBY function. I'm thrilled to have you join us on this exciting journey where we will dive deep into some of Excel's most powerful and versatile functions. By the end of this course, you'll be able to handle Lookup tasks with ease, making you a more effective and efficient Excel user.In this course, we'll cover the essential lookup functions such as XLOOKUP, XMATCH, HLOOKUP, VLOOKUP, and INDEX-MATCH, along with the dynamic array functions (SORT function, FILTER function, RANDARRAY function, SEQUENCE function, UNIQUE function, XLOOKUP function, SORTBY function) that revolutionize how we handle data in Excel. These functions are critical for anyone who works with large datasets, performs data analysis, or needs to extract specific information from complex tables. Whether you are a beginner aiming to solidify your foundational skills or an experienced user looking to master advanced techniques, this course will equip you with the knowledge to make data retrieval and analysis significantly easier and more efficient.In this course you will:Get an overview of how lookup functions streamline data retrieval and improve accuracy in data analysis.Learn the syntax and structure of the VLOOKUP function.Learn how to map data with VLOOKUP and INDEX functionDiscover how to use VLOOKUP for both exact and approximate matches.Understand the HLOOKUP function and its use cases.Learn to retrieve data from horizontal tables with HLOOKUP.Compare and contrast HLOOKUP with VLOOKUP to know when to use each function.Dive into the new XLOOKUP function, a powerful replacement for VLOOKUP and HLOOKUP.Understand how to manipulate and combine INDEX/MATCH functions and  VLOOKUP/MATCH functions and VLOOKUP/INDIRECT functions and HLOOKUP/MATCH functions and more combinations of functions to maximize efficiency.Understand how XLOOKUP simplifies complex lookups and provides greater flexibility.Discover the power of combining INDEX and MATCH functions for advanced lookup tasks.Learn how to use INDEX-MATCH for more dynamic and robust data retrieval compared to VLOOKUP.Understand the advantages of INDEX-MATCH in terms of flexibility and performance.Learn the benefits of dynamic arrays in handling and analysing large datasets.Understand the synergy between XLOOKUP, INDEX-MATCH, and dynamic arrays for advanced data manipulation.Explore key dynamic array functions such as FILTER, UNIQUE, SORT, SORTBY, SEQUENCE, and RANDARRAY.Enrol now and take your Excel skills to the next level! Your path to becoming an Excel expert starts here! Who this course is for: This course is for those who want to Discover the power of INDEX-MATCH, the flexibility of XLOOKUP, the simplicity of VLOOKUP and HLOOKUP and the practical applications of dynamic array functions This course is for those who works a lot with the Lookup and Reference Functions This course is for those who want to understand the new dynamic arrays in Excel Homepage

Published 7/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 16m | Size: 1.52 GB Overcome self-doubt, break free from limiting beliefs, release your inner strength, and embrace your true value What you'll learn Build greater and stronger confidence in yourself Develop a positive powerful mindset and see challenges as opportunities Overcome painful and negative past experiences and not allow them to hold you back from achieving a greater future Embrace your uniqueness, appreciate your abilities, strengths and accomplishments Understand the value you have to offer and understand how your contributions matter Be more self-aware, understand your limitations but build and project your strengths Move from self-criticism to self-appreciation and rewire your thought patterns Learn how to accept yourself and stop comparing and competing with others Requirements A strong desire to make a change and improve yourself Determination to follow through and complete the course Commitment to complete all exercises and tasks in the course Willingness to take action A good internet connection A quiet space to reflect and think things over A notebook and paper Description Welcome to "Confidence Unleashed! Mastering Self-Esteem for Success," the ultimate course designed to transform your self-esteem and empower you to achieve your greatest potential. This course is meticulously crafted for individuals ready to break free from self-doubt, limiting beliefs, and poor self-image to embrace their inner strength, and live a life filled with confidence and success.In this course, you will embark on a journey of self-discovery, learning powerful techniques and strategies to boost your self-esteem and self-worth. I will guide you through a series of engaging and interactive modules, each designed to help you overcome limiting beliefs and cultivate a positive self-image.What you can expect from this course:Proven Strategies: Learn and apply effective methods to enhance your self-esteem and build unshakable confidence. We delve into the psychology of self-worth, providing you with the tools you need to change your mindset and achieve a more empowered version of yourself.Personal Growth: Discover your inner strengths and how to leverage them for personal and professional success. This course will help you identify and harness your unique qualities, turning perceived weaknesses into powerful assets.Interactive Exercises: Participate in practical exercises and real-world scenarios to reinforce your learning and boost your confidence. Our hands-on approach ensures that you can apply what you've learned in your everyday life, making lasting changes to your self-perception and interactions.Actionable Insights: Gain actionable insights that you can implement immediately to start seeing positive changes. From setting achievable goals to practicing self-compassion, you'll acquire a toolkit of techniques that will serve you long after the course is over.Transformational Journey: Experience a transformational journey that goes beyond surface-level advice. We dive deep into the core issues affecting your self-esteem, providing a thorough and holistic approach to personal development.Whether you're looking to advance your career, improve your personal relationships, or simply live a more fulfilling life, this course is the key to unlocking your true potential. Enroll now and start your transformation today!Join me in this empowering adventure and take the first step towards a more confident, successful, and fulfilled version of yourself. Your journey to mastering self-esteem starts here. Who this course is for Everyone who wants to overcome poor self-worth, or a poor self-image Everyone who wants to overcome imposter syndrome and develop the confidence to act Anyone who wants to overcome past set-backs in life that are currently holding them back Everyone who wants to develop a positive mindset about themselves and build self-love Everyone who wants to me more confident at work and business Everyone who wants to overcome the fear of failure Homepage Screenshots