A more detailed description of the course, policies, and available materials can be found on our Canvas page (requires enrollment in the course).
This course provides a comprehensive introduction to computation and programming for Statistics and Data Science majors. Students will learn how to load and manipulate data, explore and visualize data, and design and implement algorithms for statistical analysis. Students will learn to use the R programming language, along with useful packages for data manipulation and visualization. We will also emphasize the skills and techniques required for team based collaboration in research and industry.
- Lead Instructor: Mark Fredrickson (mfredric@umich.edu)
- GSIs:
We will use the R programming language and the RStudio cloud development environment (now called Posit Cloud). For details, please see our Canvas page.
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- Our main text book is R for Data Science (2ed) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garett Grolemund
- Later in the semester, we will pull additional material from
- For learning git, we will use Beginning Git and GitHub by Mariot Tsitoara.
- For statistical background, we suggest Practical Statistics for Data Scientists
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Additional policies available on our course Canvas page.