Part 1: Exploring Data

• Describing the Distribution 
• Finding Relationships among Variables

Part 2: Probability and Decision Making

• Probability and Probability Distributions
• Normal, Binomial, Poisson, and Exponential Distribution
• Decision Making under Uncertainty

Part 3: Statistical Inference

• Sampling and Sampling Distributions
• Confidence Interval Estimation
• Hypothesis Testing

Part 4: Regression Analysis and Time Series Forecasting

• Regression Analytics: Estimating Relationships
• Regression Analysis: Statistical Inference
• Time Series Analysis and Forecasting

Part 5: Optimization and Simulation Modeling

• Introduction to Optimization Modeling
• Optimization Models
• Introduction to Simulation Modeling
• Simulation Models

Part 6: Advanced Data Analysis

• Data Mining

Part 7: Bonus Material

• Importing Data into Excel
• Analysis of Variance and Experimental Design
• Statistical Process Control