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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 2020 - Teaching Materials (Syllabus)


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

(starter codes)

Week 1 (Jan 22)

Week 2 (Jan 29)

Week 3 (Feb 5)

  • Project 1 presentations.

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Feb 5)

  • 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
      • a short tutorial to get you started.

Week 4 (Feb 12)

Week 5 (Feb 19)

Week 6 (Feb 26)

  • Project 2 presentations

Project cycle 3: Predictive Modeling

(starter codes)

Week 6 (Feb 26)

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

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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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