Stat GR4243/5243 Applied Data Science

Fall 2019 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4

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

(starter codes)

Week 1 (Sep 4/5)

• Introduction to ADS
• Project 1 description
• Tutorial 1 R Notebook + Examplepresentation
• A tutorial on GitHub

Week 2 (Sep 11/12)

• An example R notebook on presidential speeches
  • zipped folder
  • known running issues & solutions, prepared by Yang Yang @jokerkeny
• Overview of starter codes
• Interactive Word Cloud
• Data Story Examples: Example 1 (repo), Example 2.
• Discussion and Q&A

Week 3 (Sep 18/19)

• Project 1 presentations.

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

Week 3 (Sep 18/19)

Week 4 (Sep 25/26)

Week 5 (Oct 2/3)

Week 6 (Oct 9/10)

• Project 2 presentations

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3: Predictive Modeling

Week 6 (Oct 9/10)

Week 7 (Oct 16/17)

Week 8 (Oct 23/24)

Week 9 (Oct 30/Nov 1)

• Project 3 submission and presentations

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 4: Algorithm implementation and evaluation

Week 9 (Oct 30/Nov 1)

Weeks 10 (Nov 6/7)

Weeks 11 (Nov 13/14)

Weeks 12 (Nov 20/21)

• Project 4 presentations

Thanksgiving Break

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Shortcuts: Project 1 | Project 2 | Project 3 | Project 4

Project cycle 5:

Weeks 12 (Nov 20/21)

• Project 5 discussions

Thanksgiving Break

Week 13 (Dec 4/5)

• Project 5 presentations

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4