Announcements

• The course’s next lecture, Transforming Data, is now available.
• Complete Check 2 no later than 2025-09-21T23:59:00-04:00.
• Attend a section for this lecture during the week of September 15.
• Complete Problem Set 2 no later than 2025-09-28T23:59:00-04:00.

Description

An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists, and data frames. Filter data with conditions, via which you can analyze subsets of data. Apply functions and loops, via which you can manipulate and summarize data sets. Write functions to modularize code and raise exceptions when something goes wrong. Tidy data with R’s tidyverse and create colorful visualizations with R’s grammar of graphics. By course’s end, learn to package, test, and share R code for others to use. Assignments inspired by real-world data sets.

Table of Contents

Representing Data

1. Watch Week 1 after 2025-09-02T00:00:00-04:00.
2. Optionally watch shorts on vectors, data frames, and the R console.
3. Complete Check 1 by 2025-09-07T23:59:00-04:00.
4. Attend section, live and with webcam and audio enabled (per sections’ norms).
5. Optionally attend office hours.
6. Complete Problem Set 1 by 2025-09-14T23:59:00-04:00.

Transforming Data

1. Watch Week 2 after 2025-09-15T00:00:00-04:00.
2. Optionally watch shorts on matrices, arrays, and lists—three other ways to represent data in R.
3. Complete Check 2 by 2025-09-21T23:59:00-04:00.
4. Attend section, live and with webcam and audio enabled (per sections’ norms).
5. Optionally attend office hours.
6. Complete Problem Set 2 by 2025-09-28T23:59:00-04:00.