STAT 847 Exploratory Data Analysis (Slides 2018 Winter term)

1. Preliminary thoughts - data science and the scientific method: introduction
2. Populations - Where's Waldo? Definitions, sources of error, inductive inference, statistical method: Populations
3. Significance testing
4. Empirical Problem Solving
5. Data Analysis Environment
6. R Data Structures
7. Data Visualization in R
   • R Data Visualization and base graphics: R Data Visualization
   • Interactive graphics in R: Loon
8. Clustering methods
9. R Data Visualization and pipelines: ggplot
10. Pre-computing interesting views of data Scagnostics
11. Dimension reduction
    • Principal components dimension reduction
    • Recasting principal components
12. Advanced Data manipulation in R