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Introduction to R

Course Description

Welcome to Intro to R! This short course provides a gentle, hands-on introduction to the R programming language for data science applications. You will learn the fundamental skills required to import, tidy, transform, manipulate, and visualize real world consumer data. The following is an outline of the material covered in this training:

Day 1

Topic Time
Breakfast / Social time 8:00 - 9:00
Intro & Fundamentals 9:00 - 10:00
Importing data 10:00 - 10:30
Break 10:30 - 10:45
Data transformation 10:45 - 12:00
Lunch 12:00 - 1:00
Review 1:00-1:30
Data visualization 1:30-2:30
Break 2:30-2:45
Case study 2:45-4:00
Q&A 4:00-4:30

Day 2

Topic Time
Breakfast / Social time 8:00 - 9:00
Review 9:00-10:00
Data types 10:00-10:45
Break 10:45 - 11:00
Tidy data 11:00-12:00
Lunch 12:00 - 1:00
Joining data 1:00-1:45
Data structures 1:45-2:30
Break 2:30-2:45
Case study 2:45-4:00
Q&A 4:00-4:30

Course Preparation

To prepare for this course please complete the following prior to the day of class:

  1. Download the class material here. This will provide you with a zipped file that contains the data and R scripts to follow along during class. I have also included handy cheat sheets that you can reference throughout different sections. Be sure to unzip this file and save it in an easy to reach directory for the workshop.

  2. All slides are available via the hyperlinks in the schedule above so that you can follow along.

  3. Please have the following versions of R and RStudio installed. If you have an earlier version of R that is at least version 3.4.5 or later you should be ok but its best to be as current as possible.

If you have any specific questions prior to the class you can reach out to me (Brad Boehmke) directly at bradleyboehmke@gmail.com


This work is licensed under a Creative Commons Attribution 4.0 International License.

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