R is rapidly becoming the leading programming language in statistics and data science, with over 2 million users worldwide. Every year, the number of R users grows by 40%, and an increasing number of organizations are using it in their day-to-day activities.
This learning path will take you from learning the basics of R to using it to clean, explore, visualize and analyze your data. You will learn the basics of this beautiful open source language, such as factors, lists and data frames. You also will practice how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, and make your application using "RShiny"! You also will use R to analyze Big Data using Spark.
With the knowledge gained in this learning path, you will be ready to undertake your first very own data analysis and get ready for next sessions which are data exploration and analysis.
You need to register for Data Scientist Workbench (datascientistworkbench.com) for practicing the exercises in this learning path. We will use R Notebooks and RStudio IDE embedded in Data Scientist Workbench to write and run the codes.
An IBM community initiative, Big Data University is the world’s best education on big data. Learn about big data, data science and analytic technologies from experts using hands-on exercises and interactive videos. Best of all, it’s completely free.