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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).

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Stat GU4243/GR5243 Applied Data Science

Spring 2024 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2

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

(starter codes)

Week 1 (January 15)


Week 2 (January 22)

Week 3 (January 29)

  • Project 1 presentations.

Shortcuts: Project 1 | Project 2

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (January 29)

  • Project 2 starts.
    • Check Piazza for your project team and follow the video instructions to clone the starter codes.
    • 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 (February 5)

Week 5 (February 12)

Week 6 (February 19)

  • Project 2 presentations

Finished student projects


Project cycle 3: Weakly Supervised Learning

(starter codes)

Week 6 (February 19)

Week 7 (February 26)

Week 8 (March 4)

Spring Break (March 11)

Week 9 (March 18)

  • Project 3 submission and presentations

Project cycle 4: Algorithm implementation and evaluation

(starter codes)

Week 9 (March 18)

Week 10 (March 25)

  • Talk on fairness (see slides)
  • Overview on the methods
  • Method assignment on Piazza

Week 11 (April 1)

  • Live class canceled
  • Feel free to have group brainstorm and meetings offline

Week 12 (April 8)

  • Project 5 discussions

Week 13 (April 15)

  • Project 4 presentations

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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).

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