Stat GR4243/5243 Applied Data Science

Spring 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 (Jan 22)

• Introduction to ADS (TZ version)
• Project 1 description
• Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation
• A tutorial on GitHub

Week 2 (Jan 29)

• An example R notebook on presidential speeches (HTML)
  • 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
• Check out our Piazza Q&A discussion board for access to (optional) additional tutorials from our ADS DataCamp Classroom.

Week 3 (Feb 5)

• Project 1 presentations.

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Feb 5)

• Project 2 starts.
  • Check Piazza for your project team and GitHub join link.
  • 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 12)

• Spatial data visualization
• Tutorial on project 2 - Introduction to shiny app (app)
• Shiny Tutorial (zipped folder) (online link)
• Shiny Examples from 2019 Spring (Example 1: Online, Repo; Example 2: Online, Repo)
• A note on contribution
• Discussion and Q&A

Week 5 (Feb 19)

• Feedback on project 1
• Tutorial on SQL in R(zipped folder)
• Tutorial on RShiny Deployment in GCP
• Tutorial on giving presentations
• Brainstorm on project 2

Week 6 (Feb 26)

• Project 2 presentations

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3: Predictive Modeling

(starter codes)

Week 6 (Feb 26)

• Project 3 starts.
  • Check Piazza for your project team and GitHub join link.
  • 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 (motivation)
    • an example main.rmd that provides an example structure for this project. Example main.Rmd

Week 7 (Mar 4)

• Recap on project 3 requirements and starter codes.
• Tutorials + Q&A
  • Tutorials: Basic Image Analysis (zipped folder) + Fiducial Detection
  • Tutorial on gradient boosting machines (GBM)
    • A shiny app on GBM [R codes]

Week 8 (Mar 11)

• Overview on predictive modeling
• Project submission checklist
• Discussion

Spring Break

Week 9 (Mar 25)

• Project 3 submission and presentations

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 4: Algorithm implementation and evaluation

(starter codes)

Week 9 (Mar 25)

• Introduction to Project 4

Weeks 10 (Apr 1)

• Recap on project 4 requirements.
• Introduction to Recommender Systems.
• Overview of the starter codes
• Overview of the reference papers.

Weeks 11 (Apr 8)

• Q&A on Algorithms
• Team Meeting

Weeks 12 (Apr 15)

• Project 4 presentations
• Project 3 Summary (Section 1, Section 2)

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

Project cycle 5:

Weeks 12 (Apr 15)

• Project 5 discussions

Weeks 13 (Apr 22)

• Project 5 discussions

Week 14 (Apr 29)

• Project 5 presentations

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