Stat GU4243/GR5243 Applied Data Science

Fall 2020 - Teaching Materials (Syllabus)

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

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

(starter codes)

Week 1 (Sep 9)

Introduction to ADS
Project 1 description
Overview of starter codes
Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation + More Examples: Repo1, Repo2
A tutorial on GitHub

Week 2 (Sep 16)

Recap on last week
Submission and presentation for project 1
Discussion and Q&A

Week 3 (Sep 23)

Project 1 presentations.

Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Sep 23)

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 (Sep 30)

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 (Oct 7)

Week 6 (Oct 14)

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)

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)

Project cycle 5:

Weeks 12 (Dec 2)

Week 13 (Dec 9)

Week 14 (Dec 16)

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