Stat GU4243/GR5243 Applied Data Science

Fall 2020 - 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 9)

• Introduction to ADS
• Project 1 description
• Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation + More Examples: [Repo1] (https://github.com/TZstatsADS/Spring2020-Project1-petkunm), [Repo2] (https://github.com/TZstatsADS/Spring2020-Project1-zhangzhiyuan233)
• A tutorial on GitHub

Week 2 (Sep 16)

Week 3 (Sep 23)

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

Week 3 (Sep 23)

Week 4 (Sep 30)

Week 5 (Oct 7)

Week 6 (Oct 14)

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3: Predictive Modeling

Week 6 (Oct 14)

Week 7 (Oct 21)

Week 8 (Oct 28)

Week 9 (Nov 4)

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Shortcuts: Project 1 | Project 2 | Project 3

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)

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Project cycle 5:

Weeks 12 (Dec 2)

Week 13 (Dec 9)

Week 14 (Dec 16)

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