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This course provides an introduction to fundamentals of data analysis using the R language.

In this course, you will learn how to effectively use R for data analysis. This course provides a brief introduction to the fundamentals of the R language and focuses on its use for data analysis–including exploratory data analysis, linear and logistic regression, variable selection, model diagnostics, and prediction. Practical examples will be provided during the course.

Date: December 1, 2017

Time: 9 a.m. to 5 p.m. with lunch provided

Location: Donald Bren Hall, Room 3011

Instructor: Emma Smith, Chris Galbraith

TA:  Ted Grover

Pre-requisites: 1) familiarity with basic statistical concepts, and 2) basic programming knowledge. For the tutorial, bring a laptop with R downloaded and installed and WiFi.

Teaching material repository:https://github.com/UCIDataScienceInitiative/IDA-with-R