Curriculum
- 4 Sections
- 50 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Module 1: Data Analytics & Decision-Making27
- 1.1Introduction
- 1.2What is Cluster Analysis?
- 1.3Data Reduction and Unsupervised Learning
- 1.4Preparing Data and Measuring
- 1.5Hierarchical and k-means Clustering
- 1.6Cluster Analysis with Excel
- 1.7Cluster Analysis with XL Miner
- 1.8Risk Analysis and Monte Carlo Simulation
- 1.9Adding Uncertainty to a Spreadsheet Model
- 1.10Defining Output Variables
- 1.11Using Historical Data – Model Uncertainty
- 1.12Models with Co-related Uncertain Variables
- 1.13Creating and Interpreting Charts
- 1.14Using Average Values vs Simulation
- 1.15Optimization and Decision Making
- 1.16Formulating and Optimization Problem
- 1.17Developing a Spreadsheet Model
- 1.18Adding Optimization to a Spreadsheet Model
- 1.19What-if Analysis and the Sensitivity Report
- 1.20Evaluating Scenarios and Visualizing
- 1.21Digital Marketing Application of Optimization
- 1.22Advanced Model for Better Decisions
- 1.23Business Problems with Yes/No Determine
- 1.24Formulating and Solution of Binary Optimization
- 1.25Metaheuristic Optimization
- 1.26Chance Constraints and Value at Risk
- 1.27Simulation Optimization
- Module 2: HR Analytics6
- Module 3: Risk Management (COSO Framework)5
- Module 4: Ethical Leadership12
- 4.1Introduction
- 4.2Justice in a Commercial Society
- 4.3Adam Smith on Justice and Beneficence
- 4.4Adam Smith’s Explanation of the Wealth (Part I)
- 4.5Adam Smith’s Explanation of the Wealth (Part II)
- 4.6Pope John Paul II on the Nobility of Work
- 4.7Recap of Justice in a Commercial Society
- 4.8Introduction to Value Broken Windows and Prices
- 4.9Bastiat’s: What is Seen and What is Unseen?
- 4.10Hayek on Rational Economic Order and Prices
- 4.11Can Markets Price Everything?
- 4.12Recap of Value Broken Windows and Prices