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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

Fall 2020 - Teaching Materials (Syllabus)


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

(starter codes)

Week 1 (Sep 9)

Week 2 (Sep 16)

  • Recap on last week
  • Submission and presentation for project 1
  • Discussion and Q&A

Week 3 (Sep 23)


Project cycle 2: Shiny App Development

Week 3 (Sep 23)

Week 4 (Sep 30)

Week 5 (Oct 7)

Week 6 (Oct 14)


Project cycle 3: Predictive Modeling

Week 6 (Oct 14)

Week 7 (Oct 21)

Week 8 (Oct 28)

Week 9 (Nov 4)


Project cycle 4: Algorithm implementation and evaluation

Week 9 (Nov 4)

Weeks 10 (Nov 11)

Weeks 11 (Nov 18)

Thanksgiving Break

Weeks 12 (Dec 2)


Project cycle 5:

Weeks 12 (Dec 2)

Week 13 (Dec 9)

Week 14 (Dec 16)

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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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