Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.45 GB | Duration: 2h 16m
Learn concepts and techniques taught to MBA's in the field of Finance, Marketing, Digital Platform Economics and more What you'll learn Financial Accounting tools Marketing guidelines Managerial Economic tools Financial Management Operation guidelines Quantitative analysis tools Digital Platform Discussion Requirements No experience required. Any level understanding of business practices and all aspects that make up a successful business manager or entrepreneur. Description Learn all the key aspects of a top rated MBA program. Use this as a guide and companion to your classwork, or just as a refresher in you day to day business dealings. This course also works for non-MBA's who have interest in better understanding and developing their business skills.This companion course covers all the essentials of an MBA program. This includes accounting, economics, operations, and marketing. It also touches on specialty business materials like analytics and digital platforms.Multiple curriculum categories that each contain small videos on specific parts of that section of the business so you can easily find the most pertinent information you need. This can be watched in order or you can jump between sections to learn more about what you are interested in, or need a refresher on.A lot of the material covered shows up in multiple sections of the curriculum. Such as it is in business, you need a well rounded understanding of how all aspects of business are intertwined. This course helps understand that.The intention with this companion course is to make sense of all the various processes and procedures needed in Business Management at the highest level. Examples are provided whenever possible to help make sense of these concepts. A few articles are also included to use as reference in place of a video lecture. Overview Section 1: Financial Accounting Lecture 1 Financial Accounting Introduction Lecture 2 Financial Accounting Rules and Concepts Lecture 3 Financial Statements Overview Lecture 4 Balance Sheet, Income Statement, and Shareholders Equity Lecture 5 Ratio Analysis Lecture 6 Trend analysis and common-size financial statements analysis Lecture 7 Managerial accounting Overview Lecture 8 Report and Analyze: Cash Flows, Revenue, and Operating Income Section 2: Marketing Lecture 9 Marketing Introduction Lecture 10 The 5 P's of Marketing Lecture 11 The 5 C's of Marketing Lecture 12 Market Sntation and Value Proposition Lecture 13 The Product Life Cycle Lecture 14 Customer Life Value Lecture 15 Acquisition Costs and Retention Rates Lecture 16 Branding And SWOT Analysis Lecture 17 Elevator Pitch Section 3: Managerial Economics Lecture 18 Managerial Economics Introduction Lecture 19 Micro and Macro Concepts Lecture 20 Supply and Demand and Elasticity Lecture 21 Market Structures and Externalities Lecture 22 Pricing with Market Power and Price Discrimination Lecture 23 Non-Linear Pricing Lecture 24 Barriers to Entry and Economies of Scale Lecture 25 Game Theory and Nash Equilibrium Lecture 26 First Mover Strategy and Risks Lecture 27 Arbitrage, Profit Maximization, and Consumer Behavior Theory Section 4: Operations Lecture 28 Operations Introduction Lecture 29 Supply Chain Lecture 30 Problem-Solving Frameworks Lecture 31 Demand forecasting, Bottlenecks, and The Bull Whip Effect Lecture 32 Production Methods, Inventory types, EOQ, and Materials Planning Section 5: Financial Management Lecture 33 Financial Management Introduction Lecture 34 Financial management and Business investment decisions Lecture 35 DCF, NPV, IRR Lecture 36 TVM, CAPM, Cost of Capital Lecture 37 FRICTO, Capital Structure Lecture 38 Example DCF Lecture 39 Example IRR Lecture 40 Example CAPM Lecture 41 Example Cost of Capital Section 6: Analytics in Business Lecture 42 Analytics Introduction Lecture 43 Quantitative Analysis, Business analysis, Analytics Lecture 44 Data analysis tools, spreadsheet eeering, statistical modeling overview Lecture 45 Forecasting with quantitative analysis Lecture 46 Process modeling, GAP analysis Lecture 47 Probability Lecture 48 Optimization Lecture 49 Linear and non-linear models, Constraints Lecture 50 The r square Lecture 51 Standard error Lecture 52 The t statistic measure of reliability Lecture 53 The null hypothesis Lecture 54 Dummy variable Lecture 55 Regression Analysis Example Lecture 56 Decision Tree Sample Problem Lecture 57 Decision Tree Sample Answer Section 7: Economics of Digital products and services Lecture 58 Digital Products Introduction Lecture 59 Innovative and disruptive technologies Lecture 60 The Economics of Digital products and services Lecture 61 Digital platforms and concepts Lecture 62 Digital platform business models Lecture 63 Monetization and design strats Lecture 64 Growth and Optimization This companion is for any level Business student as well as anyone interested in the what is being taught to MBA's at the top Business Schools HomePage:
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