An Mba Companion Guide For Any Level Business Student

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 Segmentation and Value Proposition
Lecture 13 The Product Life Cycle
Lecture 14 Customer Lifetime 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 engineering, 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 strategies
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
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