R Programming for Data Science
Learn R for data science and explore the world of data analysis including the basic functions and methods of R programming and tools such as RStudio and dplyr.
Learn the various methods and functions of the R programming language in this free online course and the role it can play in the field of data science. You will learn the fundamentals of data science, key topics on R such as data types and structures, functions and methods, packages, getting and cleaning data, plotting data, and data manipulation as well as a practical real-world task where you will get to apply your learning.
What You Will Learn In This Free Course
Basics of R Programming Language
In this module, you will be introduced to Data Science, Big Data, and R software. You will explore the process through which a Data Science project is completed. Then, you will start learning about R and RStudio software from installation, getting acquainted with R data types and data structures, and solving simple data analysis tasks.
Controlled Flow and Functions in R
In this module you will learn how to create controlled flows in R. You will be taught how to compile scripts using Relational and Logical Operators, Conditional Statements, and Loops. In addition, you will learn R functions and how to create customized functions. Then, you will learn how to analyze data using mathematical functions and R Packages.
Data Manipulation and Visualization in R
In this module you will learn selected functions and data utilities in R. You will learn how to manipulate text using Regular Expressions. Besides, you will be taught how to get external files. Then, you will be introduced to ?dplyr? data analysis package. Finally, you will explore data visually by plotting different types of charts in R.