Gain a solid foundation in data analytics by studying both descriptive and inferential statistics, and discover how data informs forecasting and strategic decisions across industries. Delve into statistical modeling and analysis, including core algorithms, theorems, and practical applications.
Overview
Syllabus
Basic Data Analysis
- Measures of Central Tendency
- Measures of Position
- Measures of Dispersion
- The Normal Curve
- Descriptive Statistics
Predictive Analytics I
- Forecasting
- Series Forecast
Data Visualization I
- Charts
- Icon Sets
- Histograms
- Moving Average
Predictive Analytics
- Correlation
- Regression - overview
- Regression - analysis
- Linear regression
- Multiple regression
Probability
- Probability I
- Probability II
- Binomial Probability
- Poisson Probability
Prescriptive Analytics I
- What If Analysis
- Data Table (3 variables)
- Scenario Manager
- Scenario Manager - Pivot
Data Visualization II
- Sparklines
- Color Scales
- Drawing Shapes
- Pivot Tables
- Pivot Charts
Prescriptive Analytics II
- Solver - overview
- Linear Programming
- The Solver model
- Non-Linear Programming
- Evolutionary Solver
Taught by
Brian McClain, Art Yudin, Mourad Kattan, Garfield Stinvil, and Colin Jaffe