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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/G5243 Applied Data Science

Fall 2017 - Teaching Materials (Syllabus)


Project cycle 1: (Individual) R notebook on presidential addresses

(starter codes)

Week 1 (9/6)

Week 2 (9/13)

Week 3 (9/20)


Project cycle 2:

Week 3 (9/20)

Week 4 (9/27)

Week 5 (10/4)

Week 6 (10/11)


Project cycle 3:

Week 6 (10/11)

Week 7 (10/18)

Week 8 (10/25)

Week 9 (11/1)


Project cycle 4:

Week 9 (11/1)

Week 10 (11/8)

Week 11 (11/15)

Thanksgiving break

Week 12 (11/29)


Project cycle 5:

Week 13 (12/6)

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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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