This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.

• Week 1
  • Introduction to R
  • RMarkdown

• Week 2
  • Data Manipulation with dplyr
  • Creating Visualizations

• Week 3
  • Reading Data
  • Iterate Over Lists with purrr
  • Reshaping Data

• Week 4
  • Linear Models
  • Generalized Linear Models
  • Assessing Model Quality

• Week 5
  • Cross-Validation
  • Penalized Regression
  • Boosted Trees

• Week 6
  • Shiny Basics
  • Shiny Dashboard

Jared Lander

Adjunct Assistant Professor

Jared P. Lander is the Chief Data Scientist of Lander Analytics, a data science and artificial intelligence consulting and training firm based in New York City; the organizer of the New York Open Statistical Programming Meetup, and the R Conferences in...

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