R for Data Science

R is a powerful language for data analysis, data visualization, machine learning, statistics. Originally developed for statistical programming, it is now one of the most popular languages in data science. In this course, you’ll be learning about the basics of R, and you’ll end with the confidence to start writing your own R scripts.

R is a powerful language for data analysis, data visualization, machine learning, and statistics.

This isn’t your typical textbook introduction to R. You’re not just learning about R fundamentals; you’ll be using R to solve problems related to movie data. Using a concrete example makes learning painless. You will learn about the fundamentals of R syntax, including assigning variables and doing simple operations with one of R’s most important data structures — vectors!

You’ll then learn about lists, matrices, arrays and data frames from vectors. Then, you’ll jump into conditional statements, functions, classes and debugging. Once you’ve covered the basics – you’ll learn about reading and writing data in R, whether it’s a table format (CSV, Excel) or a text file (.txt). Finally, you’ll end with some important functions for character strings and dates in R.

Course Syllabus
Module 1 – R basics
Math, Variables, and Strings
Vectors and Factors
Vector operations
Module 2 – Data structures in R
Arrays & Matrices
Lists
Dataframes
Module 3 – R programming fundamentals
Conditions and loops
Functions in R
Objects and Classes
Debugging
Module 4 – Working with data in R
Reading CSV and Excel Files
Reading text files
Writing and saving data objects to file in R
Module 5 – Strings and Dates in R
String operations in R
Regular Expressions
Dates in R