R Trainings in LinkedIn Learning

R Statistics Essential Training has all the commands that a beginner needs to know to continue on his or her own. This training provides clear-to-understand content and exercise files for practice.

After watching this training, users will have a very good understanding about how R and R Studio work, and you will be able to:

  • Create charts for one or more variables and for categorical and scale variables
  • Modify a data set with transformations, examining outliers and coding missing data
  • Make inference about the mean and the proportion for one or more variables
  • Carry out ANOVA, correlation, linear regression, multiple linear regression, and contingency tables.
  • If you are familiar with multivariate statistical analyses, you could watch cluster analysis and principal component analysis in Chapter 9.

After completing this training, you can further your learning by watching other videos that fit your needs. Below are four LinkedIn trainings that we recommend:

  • Data wrangling in R (4h 12 min)
  • Cleaning Bad Data in R (1h 54 min)
  • Data visualization in R with ggplot2 (2h 26 min)
  • Healthcare Analytics: Regression in R (4h 2min)

All commands in R Essential Training and in the last four trainings can be run in the most current versions of R (3.6.1) and R Studio (1.2.5001). The only exception is geospatial visualization in “Data Visualization in R with ggplot2” because it requires the installation of the package “Rtools”, which is not available in R v.3.6.1. In addition, the user will not be able to work with the cases studies.

To login into LinkedIn Learning, click on the LinkedIn Learning tab above. 

You are ready to go. Once you complete each training, you will receive a certificate of completion.

Time Commitment

This is a 6-hour training.

 

Who's it for?

Faculty, Student, Staff, TA / Grad Asst

Format

Online: self-paced

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