R can help you work with data you already have. You can do this by learning some common R data commands, exploring your data, aggregating the data into summary information, and visualizing the results to share with others. But before that, data cleaning is a very important aspect. Here we will talk about using tidyr to create tidy data.

This course will teach you how to put R to practical use in a world where decisions are data-driven. We start off by understanding how to prepare your data for analysis. You will learn how to organize data in a way that is easily workable. We will then explore data and understand how easy it is to gain insights from it by summarizing, aggregating, and visualizing data in R.

By the end of this course, you will be equipped with the skills you need to explore a Retail, Telecom, or any other dataset handed to you, break down its key feature into easily digestible information, summarize this information, and produce visually appealing Descriptions to demonstrate these insights.

All the code files for this course are available on Github at -