Curriculum
- 1 Section
- 27 Lessons
- 10 Weeks
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- 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