In this introduction to R course, you'll master the basics of this widely used open source language&mdash;including vectors, factors, lists, and data frames. With the coding skills you'll gain in this course, you'll be ready to undertake your own data analysis in R. There are millions of R users worldwide, cementing it as a leading programming language in statistics and data science. More and more organizations are using R, so begin your coding journey in one of DataCamp's most popular courses today!

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

DataCamp's Into to R training course teaches you how to use R programming for data science at your own pace with video tutorials & interactive challenges.

Introduction to R Online

Introduction to R

Intro to Python for Data Science (edX 1.2)

Intro to Python for Data Science (edX 2.1)

Intro to Python for Data Science (edX 2.2)

Intro to Python for Data Science (edX 2.3)

Intro to Python for Data Science (edX 3.1)

Intro to Python for Data Science (edX 3.2)

Intro to Python for Data Science (edX 3.3)

Intro to Python for Data Science (edX 4.1)

Intro to Python for Data Science (edX 4.2)

Intro to Python for Data Science (edX 4.3)

Lab exercises on Basic Plots with matplotlib.

Intro to Python for Data Science (edX 5.1)

Intro to Python for Data Science (edX 5.2)

Intro to Python for Data Science (edX 5.3)

Importing data into R should be the easiest step in your analysis. Unfortunately, that is almost never the case. Data can come in many formats, ranging from .csv and text files, to statistical software files, to databases and HTML data. Knowing which approach to use is key to getting started with the actual analysis.
In this course, you’ll start by learning how to read .csv and text files in R. You will then cover the readr and data.table packages to easily and efficiently import flat file data. After that, you will learn how to read .xls files in R using readxl and gdata.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Learn to read .xls, .csv, and text files in R using readxl and gdata, before learning how to use readr and data.table packages to import flat file data.

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