Course info
This course covers the basics of R and functional programming. Learn the basics of data science, including data visualization, tidying, transforming, reporting, and communicating. Work with classmates to engage with problems using tools that create reproducible reports. Gain experience applying statistical thinking to large datasets that span a range of interesting topics. This website draws heavily on the incredible course website developed by
Mine Çetinkaya-Rundel and the outstanding artwork of
Allison Horst
Lectures
We will meet twice weekly using Zoom. Send me an e-mail for a link
Lecture times: Tuesday and Thursday 2:00 - 3:20
Instructor and office hours
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Byron C. Jaeger
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Tuesday and Thursday 12:30 - 1:00 |
Texts
All texts are freely available online:
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R for Data Science
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Garrett Grolemund & Hadley Wickham |
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R Markdown: The Definitive Guide
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Yihui Xie, J. J. Allaire, & Garrett Grolemund |
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Happy Git with R
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Jenny Bryan, STAT 545 TAs, & Jim Hester |
Materials
You should have access to a computer and a stable internet connection.