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:


This work is licensed under the CC BY-NC 4.0 Creative Commons License.