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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 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 cycle 2: Shiny App Development

Week 3 (Sep 29)

Week 4 (Oct 6)

Week 5 (Oct 13)

Week 6 (Oct 20)


Project cycle 3: Predictive Modeling

Week 6 (Oct 20)

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)


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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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