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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 2021 - Teaching Materials (Syllabus)


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

(starter codes)

Week 1 (Jan 13)

Week 2 (Jan 20)

Week 3 (Jan 27)


Project cycle 2: Shiny App Development

Week 3 (Jan 27)

Week 4 (Feb 3)

Week 5 (Feb 10)

Week 6 (Feb 17)


Project cycle 3: Predictive Modeling

Week 6 (Feb 17)

Week 7 (Feb 24)

Spring Break

Week 8 (Mar 10)

Week 9 (Mar 17)


Project cycle 4: Algorithm implementation and evaluation

Week 9 (Mar 17)

Weeks 10 (Mar 24)

Weeks 11 (Mar 31)

Weeks 12 (Apr 7)


Project cycle 5:

Weeks 12 (Apr 7)

Week 13 (Apr 14)

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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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