Stat GU4243/G5243 Applied Data Science

Spring 2017 - Teaching Materials

Syllabus

Project cycle 1: (Individual) R notebook on presidential addresses

(starter codes)

Week 1 (1/20)

• Introduction to ADS
• Project 1 description
• Tutorial 1 R Notebook + Example
• Turorial 2 GitHub Issues

Week 2 (1/27)

• A tutorial on GitHub
• An example R notebook on presidential speeches
• R notebook as a presentation, (zipped folder)
• Discussion and Q&A

Week 3 (2/3)

• Project 1 presentations

Project cycle 2: shiny app development

(starter codes)

Week 3 (2/3)

• 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 (2/10)

• Tutorial on project 2 - Introduction to shiny app
• Shiny Tutorial(Chengliang Tang) zipped folder(online link) + example
• Spatial visualization

Week 5 (2/17)

Week 6 (2/24)

• Project 2 presentations

Project cycle 3: predictive modeling (starter codes)

Week 7 (3/3)

Week 8 (3/10)

spring break

Week 9 (3/24)

• Project 3 presentations

Project cycle 4:

Week 10 (3/31)

Week 11 (4/7)

Week 12 (4/14)

• Project 4 presentations

Project cycle 5: free topic

Week 13 (4/21)

Week 14 (4/28)

• Project 5 Presentations