Schedule

Here’s your roadmap for the semester!

  • Readings should be completed before each class session
  • 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

Week 1 (8/27) Introduction to Data Science tools: R, Python, Markdown, Git, command line tools
Week 2 (9/3) Version Control & Reproducible Research
Week 3 (9/10) Exploratory data analysis
Week 4 (9/17) Data visualization
Week 5 (9/24) Data cleaning and wrangling
Week 6 (10/1) Text Mining
Week 7 (10/8) Scraping, APIs, and Regular Expressions
Week 8 (10/15) Fall Recess (No class)
Week 9 (10/22) Midterm Exam
Week 10 (10/29) High performance computing, cloud computing
Week 11 (11/5) Managing big data, SQL and non-SQL languages, Google BigQuery
Week 12 (11/12) Interactive visualization and effective data communication I
Week 13 (11/19) Interactive visualization and effective data communication II
Week 14 (11/26) Thanksgiving Holiday
Week 15 (12/3) Final project workshop: review project progress, preliminary presentations
Week 16 (12/10) Final Project