Your organization is likely to get started using R, if they haven’t already. Learning R should be on your list of things to learn this year. Many ask, is R hard to learn? Not with our course, which takes the time to teach you the fundamentals and then build on to that foundation. We’ll spend time on the core R data structures, like vectors, matrices, arrays and data frames, along with examples.
This course takes a deep dive and covers topics such as how to evaluate data relationships, and before moving into predictive modeling, we’ll do a quick overview of key concepts in statistics. From there, we will walk through the training, testing, and evaluation of a predictive model.
We’ll even cover data quality and how to deal with missing data. The course wraps up by discussing related topics such as scaling R programs, creating R based web applications, and creating dynamic presentations with R Markdown.
Our Intro to R course is designed by Bryan Cafferky, a Microsoft Technical Solutions Professional and an author and expert on these topics. Don’t get left behind as the language of R grows in popularity within many organizations. Our Introduction to R course is just what you need to get you equipped with the skills needed to use R for your data analysis. Visit our website to enroll or sign up for a free trial of our On-Demand Training platform.