• Week 1: January 11 - Course overview (HTML) (R Markdown)
• Week 1: January 11 - R Overview (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 2: January 18 - R style and Functions (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 3: January 25 - Simulation, loops, if/else statements (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 4: February 1 - Data Wrangling (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 5: February 8 - Debugging R Code (PDF) (R Markdown): Exercises (R Markdown) (HTML) 
• Week 6: February 15 - Data Viz (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 7: February 22 - Adv. Graphics and ggplot2 (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 9: March 6 - R Shiny Overview (PDF) (R Markdown)
• Week 11: March 20 - Data Scraping and SQL (PDF) (R Markdown) 
• Week 12: March 27 - Predictive Modeling (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 13: April 3 - Clustering (PDF) (R Markdown): Exercises (R Markdown) (HTML)
• Week 14: April 10 - SAS Basics and Data Steps (HTML) Proc SQL in SAS (HTML)
• Week 15: April 17 - SAS Procedures (HTML)
• Week 16: April 24 - SAS Graphics (HTML)