| Date | Topic | Lab |
|---|---|---|
| Mon Mar 26 | cm001: Introduction to computing for the social sciences | |
| Wed Mar 28 | cm002: Visualizations and the grammar of graphics | lab01: Software setup |
| Mon Apr 2 | cm003: Data transformation | |
| Wed Apr 4 | cm004: Exploratory data analysis | lab02: R basics |
| Mon Apr 9 | cm005: Data wrangling: tidy data | |
| Wed Apr 11 | cm006: Data wrangling: relational data and factors | lab03: |
| Mon Apr 16 | cm007: Pipes and functions | |
| Wed Apr 18 | cm008: Vectors and iteration | lab04: |
| Mon Apr 23 | cm009: Debugging and defensive programming | |
| Wed Apr 25 | cm010: R Markdown | lab05: |
| Mon Apr 30 | cm011: Statistical learning: regression and classification | |
| Wed May 2 | cm012: Statistical learning: classification and cross-validation | lab06: |
| Mon May 7 | cm013: Distributed learning | |
| Wed May 9 | cm014: Geospatial visualization | lab07: |
| Mon May 14 | cm015: Getting data from the web: API access | |
| Wed May 16 | cm016: Getting data from the web: scraping | lab08: |
| Mon May 21 | cm017: Text analysis: fundamentals and sentiment analysis | |
| Wed May 23 | cm018: Text analysis: classification and topic modeling | lab09: |
| Mon May 28 | cm019: Memorial day (no class) | |
| Wed May 30 | cm020: Building Shiny applications | lab10: |
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