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Eager to analyze data? This hands-on introduction will help you organize and format data, supporting a modeling or machine learning workflow.

  1. Import and wrangle real-world data​
  2. Explore data properties​
  3. Format data for statistical tests and machine-learning

Note: Ensure you can run R and RStudio as well as these packages: dplyr; tidyr; plyr.

Registration is required. There are 52 seats available.

Related LibGuide: R Software for Business Guide by Kevin Thomas

Date:
Tuesday, March 16, 2021
Time:
12:00pm - 1:30pm
Campus:
Online

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Kevin Thomas
R Basics: Prepare Data for Modeling and Analysis