SCI 2000 - Winter 2021

Practice Problems

Mon, 01 Jan 0001 00:00:00 +0000

Here is a list of practice problems. The problem numbers refer to the 6th edition of Applied Multivariate Statistical Analysis by Johnson & Wichern. A copy has been put on course reserve through the Science Library.

Chapter 3–Sample Geometry and Random Sampling

3.8, 3.9, 3.10, 3.14, 3.15, 3.17

Chapter 4–The Multivariate Normal Distribution

4.3, 4.4, 4.4, 4.5, 4.6, 4.7, 4.8, 4.16, 4.18, 4.19, 4.21, 4.22

Slides

Mon, 01 Jan 0001 00:00:00 +0000

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
- Residual analysis
- More examples
Relational data
Text data
- Regular expressions
- Sentiment analysis
Web scraping
- More scraping examples
- Scraping with XPath
- APIs; you can find the recorded lecture here
Logistic regression
Automating data analysis tasks

Supplementary Material

Mon, 01 Jan 0001 00:00:00 +0000

Supplementary Material

On this page, I will post additional resources and supplementary material for the course.

Resources for R

In this course, we will use R as the main computational tool. Below are some resources:

R for Data Science by Grolemund and Wickham.
Hands-On Programming with R by Grolemund.
Jenny Bryan’s course on Data wrangling, exploration, and analysis with R
- In particular, I recommend the notes on The Many Flavours of R objects
Mine Cetinkaya’s curated list of resources for R
If you’re looking for a deep understanding of R, I recommend Hadley Wickham’s book Advanced R
RStudio has several great cheatsheets on their website. In particular, I recommend: