Stat GU4243/GR5243 Applied Data Science

Fall 2023 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4 | Project 5

---

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

(starter codes)

Week 1 (September 5)

• Introduction to ADS
• Project 1 description(Github Classroom Link)
• Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation + More Examples: Repo1, Repo2, Repo3, Repo4 | An example on Jupyter Notebook
• A tutorial on GitHub | Introduction to GitHub

Week 2 (September 11)

• Recap on last week
• Overview of starter codes
• An example R notebook on presidential speeches (HTML)
• Interactive Word Cloud
• Intro to word2vec slides | R Notebook tutorial for word2vec | Jupyter Notebook Tutorial for word2vec
• Submission and presentation for project 1
• Discussion and Q&A

Week 3 (September 20)

• Project 1 presentations.

Finished student projects

---

Shortcuts: Project 1 | Project 3 | Project 4 | Project 5

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (September 20)

• Project 2 starts.
  • Check Piazza for your project team and follow the video instructions to clone the starter codes.
  • 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.

Week 4 (September 25)

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

Week 5 (October 2)

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