/ADS_Teaching

Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).

Primary LanguageHTML

Stat GU4243/GR5243 Applied Data Science

Fall 2021 - Teaching Materials (Syllabus)


Project cycle 1: (Individual) R notebook for exploratory data analysis

(starter codes)

Week 1 (Sep 15)

Week 2 (Sep 22)

Week 3 (Sep 29)

  • Project 1 presentations.

Finished student projects


Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Sep 29)

  • Project 2 starts.
    • Check Piazza for your project team and GitHub join link.
    • After you join project 2, you can clone your team's GitHub repo to your local computer.
    • You can find in the starter codes
      • the project description,
      • an example toy shiny app

Week 4 (Oct 6)

Week 5 (Oct 13)

Week 6 (Oct 20)

  • Project 2 presentations

Finished student projects


Project cycle 3: Predictive Modeling

(starter codes)

Week 6 (Oct 20)

  • Project 3 starts.
    • Check Piazza for your project team and GitHub join link at the end of this week.
    • After you join project 3, you can clone your team's GitHub repo to your local computer.
    • You can find in the starter codes

Week 7 (Oct 27)

Week 8 (Nov 3)

Week 9 (Nov 10)


Project cycle 4: Algorithm implementation and evaluation

Week 9 (Nov 10)

Week 10 (Nov 17)

Thanksgiving Break

Week 11 (Dec 1)

Week 12 (Dec 8)