Schedule

Here’s your roadmap for the semester!

  • Optional reading material to supplement lecture material
  • Class materials (slides, in-class activities, etc.) will be added on the day of class
  • Assignments are due by 11:59 PM on the day they are due

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Week 1 (8/30) Introduction to Data Science tools: R, Python, Quarto, Git, command line tools
Week 2 (9/6) GitHub, Version Control, & Reproducible Research
Week 3 (9/13) Exploratory Data Analysis
Week 4 (9/20) Data Visualization
Week 5 (9/27) Data Cleaning and Wrangling
Week 6 (10/4) Text Mining & Sentiment Analysis
Week 7 (10/11) NO CLASS - Fall Recess. Midterm Project
Week 8 (10/18) Scraping, APIs, and Regular Expressions
Week 9 (10/25) (Midterm Project due) High Performance Computing, Cloud Computing
Week 10 (11/1) Managing Big Data, SQL and Non-SQL Languages, Google BigQuery
Week 11 (11/8) Interactive Visualization & Effective Data Communication I
Week 12 (11/15) Interactive Visualization and Effective Data Communication II
Week 13 (11/22) Final project workshop
Week 14 (11/29) NO CLASS - Thanksgiving Holiday
Week 15 (12/6) Final Project Due