Stat GU4243/GR5243 Applied Data Science

Spring 2021 - 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 (Jan 13)

• Introduction to ADS
• Project 1 description
• Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation + More Examples: Repo1
• A tutorial on GitHub

Week 2 (Jan 20)

• Recap on last week
• Overview of starter codes
• Submission and presentation for project 1
• Discussion and Q&A

Week 3 (Jan 27)

• Project 1 presentations.

Finished student projects

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Jan 27)

• Project 2 starts.
  • Check Piazza for your project team and GitHub join link on Friday.
  • After you join project 2, you can clone your team's GitHub repo to your local computer.
  • You can find in the starter codes
    • the project description,
    • an example toy shiny app
    • a short tutorial to get you started.

Week 4 (Feb 3)

• Spatial data visualization
• Tutorial on project 2 - Introduction to shiny app (app)
• Shiny Tutorial (zipped folder) (online link)
• Shiny Examples from previous semesters (Example 1: Online, Repo; Example 2: Online, Repo)
• A note on contribution
• Discussion and Q&A

Week 5 (Feb 10)

• Tutorial on SQL in R(zipped folder)
• Tutorial on RShiny Deployment in GCP
• Tutorial on giving presentations
• Brainstorm or Discussion on project 2

Week 6 (Feb 17)

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3: Predictive Modeling

Week 6 (Feb 17)

Week 7 (Feb 24)

Spring Break

Week 8 (Mar 10)

Week 9 (Mar 17)

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 4: Algorithm implementation and evaluation

Week 9 (Mar 17)

Weeks 10 (Mar 24)

Weeks 11 (Mar 31)

Weeks 12 (Apr 7)

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Project cycle 5:

Weeks 12 (Apr 7)

Week 13 (Apr 14)

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