R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.
Author Name: Matthew Renze
Author Description:
Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. As the president of the Renze AI Research Institute, he researches cognitive architectures for agentic AI systems. Matthew has a Master’s degree in Artificial Intelligence from Johns Hopkins University. He is a Microsoft MVP in AI, a Microsoft Regional Director, and an author for Pluralsight. You can learn more at https://matthewrenz… more

Table of Contents

• Introduction to R
  25mins
• Transforming and Cleaning Data
  19mins
• Calculating Descriptive Statistics
  31mins
• Visualizing Data
  43mins
• Moving Beyond R and Exploratory Data Analysis
  30mins