R For Data Science

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

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.