Digital Education

Quantitative Business Decisions

Business Intelligence / Analytics

Quantitative Business Decisions

Game Theory

Quantitative business decision follows a mathematical approach to business decision-making techniques and methods. Numbers are your friends and help business leaders through analysis of decision made under uncertainty. Quant is used in many functional areas of organizations including finance, accounting, operations, marketing, quality control, and human resources. Names like business intelligence, data science, business analytics, and quantitative analysis, are all used to describe the different mathematical business techniques.


Introduction

Game Theory Introduction

Learning Objectives

  1. Define Game Theory
  2. Describe how Game Theory is used in business decision making
  3. Understand the functionality of Game Theory

To Do List

  • Continue Reading - Game Theory
  • Intro to Game Theory Video
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Game Theory Dominance

Learning Objectives

  1. Define dominance
  2. Comprhend the maximizer and the minimizer
  3. Understand how the functionality of dominance

To Do List

  • Continue Reading - Chapter 12
  • Game Theory Dominance Video<
  • Quiz 16 Dominance
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Game Theory - Initial Strategy

Learning Objectives

  1. Define initial strategy for each player
  2. Determine the initial game value

To Do List

  • Continue Reading
  • Intro to Game Theory Video
  • Decision Analysis Video
  • Quiz 19 Game Theory Initial Values
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Nash Equalibrium / Mixed

Learning Objectives

  1. Define a mixed solution / Nash
  2. Describe how to use a Nash Equalibrium
  3. Determine the value based on Nash

To Do List

  • Continue Reading
  • Mixed - Nash Equalibrium
  • Quiz 20 Mixed (Nash Equalibrium)
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fictitious Play

Learning Objectives

  1. Define Fictitious Play
  2. Describe how ficticious play is used to solve for larger strategies
  3. Understand how the functionality of ficticious play

To Do List

  • Continue Reading
  • Ficticious Play Video<
  • Quiz 21 Ficticious Play
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Introduction

Markov Chain

The Markov Chain is analysis of changing conditions with memory of pervious state. There are many uses for Markov Chains including bad debt analysis and brand switching between vendors.


Learning Objectives

  1. Define a Markov Chain
  2. Describe Markov Probabilities
  3. Understand Markov Algebra
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Markov Chain - Probability Method

Learning Objectives

  1. Understand a Markov Chain
  2. Describe the marginal, conditional, and joint probabilities
  3. Understand how to calculate the next state in the chain

To Do List

  • Continue Reading - Chapter 12
  • Markov Prob Video
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Markov Matrix Algebra

Learning Objectives

  1. Understand a Markov Chain
  2. Describe Vectors and Matrix
  3. Understand how to calculate a Markov chain using vectors and matrix

To Do List

  • Continue Reading - Chapter 12
  • Markov Matrix Algebra Video
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Introduction

Decision Trees

What's in YOUR branches?


Learning Objectives

  1. Learn Decision Trees
  2. Understand branchs, nodes, and decisions

To Do List

  • Read - Chapter 1
  • Welcome Video
  • Video topic 1
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Trees

Basic Decision Trees

What's in YOUR branches?


Learning Objectives

  1. Learn Decision Trees
  2. Understand branchs, nodes, and decisions

To Do List

  • Read - Chapter 1
  • Welcome Video
  • Video topic 1
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Trees

Advanced Trees

What's in YOUR branches?


Learning Objectives

  1. Learn Decision Trees
  2. Bayes

To Do List

  • Read - Chapter 1
  • Welcome Video
  • Video topic 1
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