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When & Where
Date: 
Wed, August 17, 2016 - 1:00 PM to 4:00 PM
Location: 
Barrows 140
Description
Type: 

The R for Data Science workshop series is a four-part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Part 3: Analyzing Data

Students will be introduced to the principles behind the grammar of graphics and basic linear regression models. Students will understand the implementation of plotting in R. Students will be able to explore, summarize, and analyze data using R's implementation of exploratory and inferential data analysis.

Knowledge requirements: R for Data Science Parts 1 and 2 or equivalent

Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately. Links to the other R intensive workshops can be found below.

Keyword: 
Details
Training Host: 
D-lab Facilitator: 
Stephanie Smith
Format Detail: 
Interactive
Participant Technology Requirement: 
Laptop required; the RStudio IDE is recommended but not required