Data science is the practice of transforming data into knowledge, and R is one of the most popular programming languages used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world.

In this course, Data Science with R, you’ll first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight.

Next, you’ll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models.

Finally, you’ll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.

By the end of this course, you’ll have the skills necessary to use R and the principles of data science to transform your data into actionable insight.
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

• Course Overview
  1min
• Introduction to Data Science
  12mins
• Introduction to R
  23mins
• Working with Data
  22mins
• Creating Descriptive Statistics
  9mins
• Creating Data Visualizations
  9mins
• Creating Statistical Models
  13mins
• Handling Big Data
  16mins
• Predicting with Machine Learning
  21mins
• Deploying to Production
  19mins