Learn and master the industry-standard language for data science
Data is on the rise and it's the need of the hour to process it and make sense out it. Analysts and statisticians need to get this job done. It's an art to tactfully and efficiently process data. But, as it goes an art becomes a reality only with the help of right tools and the knowledge of using these right. So, it is with data science. R is a powerful language that provides with all the tools required to build probabilistic models, perform data science, and build machine learning algorithms. If you're a data scientist looking at exploring this language, this Learning Path is for you. You'll be introduced to RStudio and the basics of R. Then, you'll taken through a number of topics such as handling dates with the lubridate package, handling strings with the stringr package, and making statistical inferences. Finally, the focus will be on machine learning concepts in depth and applying them in the real world with R.
Prerequisites: This is for absolute beginners. No prior knowledge of R is required.
Resources: Code downloads and errata:
This path navigates across the following products (in sequential order):
Introduction to R Programming (3h 46m)
Mastering R Programming (5h 12m)