Schedule
Schedule for DS002R, Foundations of Data Science in R, Pomona College, Fall 2025
Here’s your roadmap for the semester! Each day, follow the general process outlined below:
Enjoy the notes / text
Attend class, review the worksheet and solutions if you have any questions after working on it during class. Slides from class are linked below.
Discuss the reflection questions and ethics considerations (see the class notes) with your classmates and professor.
The textbooks are Modern Data Science with R (MDSR), 3rd edition by Baumer, Kaplan, and Horton and R for Data Science (R4DS), 2nd edition by Wickham, Çetinkaya-Rundel, and Grolemund.
Homework assignments are found at the GitHub course organization. Due dates are provided on each assignment (roughly every other week). See the course GitHub page for more information on how to find, complete, and submit assignments.
date | topic | class materials | due dates | resources |
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Week 1 |
intro + |
Introduction |
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Week 2 |
Data Viz |
HW 1 - due 9.3.25 |
Tufte. 1997. Visual and Statistical Thinking: Displays of Evidence for Making Decisions |
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Week 3 |
Data Viz |
HW 2 - due 9.10.25 |
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Week 4 |
Data Wrangling |
HW 3 - due 9.17.25 |
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Week 5 |
Data Types |
Project 1 - due 9.24.25 |
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Week 6 |
Regular Expressions |
R4DS Regular expressions |
HW 4 - due 10.1.25 |
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Week 7 |
functions + |
R4DS Fuctions |
Project 2 - due 10.8.25 |
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Week 8 |
code review + |
reproducible examples |
HW 5 - due 10.15.25 |
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Week 9 |
iterations + |
HW 6 - due 10.22.25 |
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Week 10 |
permutation tests |
Project 3 - due 10.29.25 |
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Week 11 |
web scraping |
HW 7 - due 11.5.25 |
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Week 12 |
SQL |
R4DS Databases |
Project 4 - due 11.12.25 |
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Week 13 |
SQL |
HW 8 - due 11.19.25 |
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Week 14 |
Shiny |
Matering Shiny |
Project 5 - due 11.26.25 |
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Week 15 |
Quiz 6 12.3.25 |
presentations (?) 12.5.25, 9am - noon |
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Week 16 |
Project 6 - due 12.10.25 |
presentations (?) 12.10.25, 9am - noon |