Lecture schedule

Please note that this schedule is subject to change.

Lecture Date Topic Recommended Readings
1 01 Apr 2025 Introduction to R, R Studio, and Quarto R for Data Science: Introduction, Ch 28 (Quarto)
2 08 Apr 2025 Data Visualization and Debugging R for Data Science: Chapters 1, 9-11; ggplot cheatsheet
3 15 Apr 2025 Workflow and Reproducibility R for Data Science: Chapters 2, 4, 6, 8 (workflow), 27
4 22 Apr 2025 Manipulating and Summarizing Data R for Data Science: Chapters 3, 12, 19
5 29 Apr 2025 Importing, Exporting, and Cleaning Data
6 06 May 2025 Data Structures & Types
7 13 May 2025 Working with Text Data
8 20 May 2025 Writing Functions
9 27 May 2025 Iteration
10 03 Jun 2025 Next Steps