An Mba Companion Guide For Any Level Business Student

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 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