# Slides #

If you are registered for the course, you can find the material on UM Learn.

Some of these slides borrow heavily from other sources. In particular, I would like to acknowledge R for Data Science and Rafael Irizarry’s notes on data visualization.

- Course overview
- Summary statistics
- Data visualization
- Principles of effective visualization)
- Linear regression
- Relational data
- Text data
- Web scraping
- More scraping examples
- Scraping with XPath
- APIs; you can find the recorded lecture here

- Logistic regression
- Automating data analysis tasks