Daily Schedule

Time Daily Session
9:00am - 10:30am Daily Entry Ticket, Session 1
10:30am - 10:45am (Morning break)
10:45am - 12:15pm Session 2
12:15pm - 1:30pm (Lunch)
1:30pm - 3:00pm Session 3
3:00pm - 3:15pm (Afternoon break)
3:15pm - 4:45pm Session 4
4:45pm - 5:00pm Wrap Up Activity, Daily Journal

Day 9 06/11

  • [AM] (link at top right corner)
    1. (Main room) Presentation on 4 ML Algorithms
  • (1,2) (Breakout room) Work on Main example in your team to include
    • Work on looking at your data using Main example in your team with dataset assigned to your team
    • include appropriate ML algorithm,
  • (2,3) Continue with Main example or Do a final project to include an ML technique to analyze your data, presentation
  • (3,4) (Main room) presentation : Final project/Main example presesntation, status-update doc updated, Wrap up, Post survey, Answer Question, Pick favorite part of the bootcamp, Pick favorite visualization and why, Pick favorite lesson to take away.
  • Don’t forget : Daily Journal (link at top right corner)
  • Post-workshop survey

Day 8. 06/10

  • [AM] (link at top right corner)
    1. Complete Intro to Python,
    1. Labs (Individual - Silent working )
    1. Intro to ML
    1. (Breakout rooms) Team work 4 ML algorithms
  • Don’t forget : Daily Journal (link at top right corner)

Day 7. 06/09

  • [AM] (link at top right corner)
    1. Final Project presentations and Mini Project Updates, Peer graded - grades on status-update google doc
    1. Go through Shiny Examples for replicating
  • (2),(3), (4) Intro to Python, Jyupter Notebooks
  • Don’t forget : Daily Journal (link at top right corner)

Day 6. 06/08

  • [AM] (link at top right corner)
  • (1). Git , Github. [More info]((https://happygitwithr.com/)
  • (2). Create your final project website : First github, then Rstudio(Cloud): clone, repeat(add,commit,pull, push)
  • (2). R Shiny - minimal example, R Shiny Gallery, R Shiny Demos
  • Read Also: RStudio Projects - Git, Github
  • Read Also: Project Workflow
  • (3),(4) - Worktime for Mini Project updates, Final Project
  • Moved to Day 7: Final Project presentations with peer review (refer to rubric), Mini-Project 1 update.
  • Don’t forget : Daily Journal (link at top right corner)

Day 5. 06/05

  • [AM] (link at top right corner)
  • Tutorial on distributions in R
    1. Prob, Statistical Inference.
      1. Organize
      1. Other things - RShiny - for project
    1. Communicate Hans rosling 200 countries, 200 years in 4 minutes
    1. Tutorial on HT, Regression, Goodness of Fit
  • (3)Continue with Modeling lab from yesterday
    1. Work on refining Mini-Project: Improve by using peer-feedback in status-update google doc,Organize section from AM and avoiding top 10 visualization mistakes.See
  • It’s Friday - Yay- Virtual Happy Hour
  • Don’t forget : Daily Journal (link at top right corner)

Day 4. 06/04

  • [AM] (link at top right corner)
  • (1,2) 7. Modeling
  • Communicating, Tips and tricks
  • Final R Project released
  • (3.) Lab on Modeling
    1. Presentations: Mini Project 1.
  • Don’t forget : Daily Journal (link at top right corner)

Day 3. 06/03

Day 2 : 06/02

Day 1 : 06/01