Business/Data Analytics

Businesses today have access to more data than ever. Learn decision making tools such as Cluster Analysis, Linear Regression, Outlier Detection, Decision Stumps, Monte Carlo methods, and more in our Business/Data Analytics class.

Lesson 1: Data Mining Principles

Topic A: Association rules

Topic B: Cluster analysis

Topic C: Principal component analysis

Topic D: Affinity Grouping

Lesson 2: Regression

Topic A: Linear regresssion

Topic B: Logistic regresssion

Topic C: Interpreting and plotting regression results

Topic D: Outlier detection

Topic E: Dealing with latent variables/truncated data 

Lesson 3: Forecasting

Topic A: Time series data

Topic B: Duration and frailty/resilience models; hazard rates

Topic C: Stationary (and non-stationary) processes

Lesson 4: Decision Making

Topic A: Decision stumps and basic game theory concepts

Topic B: Optimization

Topic C: Simulation & Monte Carlo methods

Topic D: Naive Bayes, particularly Bayesian updating