README.md

Stat GU4243/GR5243 Applied Data Science

Spring 2024 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2

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

(starter codes)

Week 1 (January 15)

• 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

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Week 2 (January 22)

• 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 (January 29)

• Project 1 presentations.

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Shortcuts: Project 1 | Project 2

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (January 29)

• 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 (February 5)

• 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 (February 12)

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

Week 6 (February 19)

• Project 2 presentations

Finished student projects

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 3: Weakly Supervised Learning

(starter codes)

Week 6 (February 19)

• Project 3 starts.
  • Check Piazza for your project team and follow the video instructions to clone the starter codes.
  • After you join project 3, you can clone your team's GitHub repo to your local computer.
  • You can find in the starter codes
    • Intro to Project 3

Week 7 (February 26)

• Recap on project 3 requirements and starter codes.
• Tutorials + Q&A
  • Tutorials: Basic Image Analysis in Python, in R (zipped folder)
  • Slides on Weakly Supervised Learning
  • Overview on Weakly Supervised Learning

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