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Offered By: IBM

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.

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Course

R Programming

16.8k+ Enrolled
4.6
(857 Reviews)

At a Glance

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

General Information

  • This course is self-paced.
  • It can be taken at any time.
  • It can be audited as many times as you wish.

Recommended skills prior to taking this course

  • None

Requirements

  • None

Estimated Effort

6 Hours

Level

Beginner

Skills You Will Learn

Data Analysis, Data Science, Data Visualization, Machine Learning

Language

English

Course Code

RP0101EN

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