CAREER TRACK

Data Scientist with R

A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.

Join

R language
95 hours
23 Courses
$118,000/year

R career track data scientist 2x

1

Introduction to R

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

4 hours

Jonathan Cornelissen

Co-founder and CEO of DataCamp
2

Intermediate R

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

6 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
3

Intermediate R - Practice

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

4 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
4

Importing Data in R (Part 1)

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

3 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
5

Importing Data in R (Part 2)

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
6

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it for analysis.

4 hours

Nick Carchedi

Director of Content at DataCamp
7

Importing & Cleaning Data in R: Case Studies

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

4 hours

Nick Carchedi

Director of Content at DataCamp
8

Writing Functions in R

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

4 hours Play preview

Hadley Wickham

Chief Scientist at RStudio, author of ggplot2, dplyr, and tidyr
9

Data Manipulation in R with dplyr

Master techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

4 hours

Garrett Grolemund

Data Scientist at RStudio
10

Joining Data in R with dplyr

This course will show you how to combine data sets with dplyr's two table verbs.

4 hours Play preview

Garrett Grolemund

Data Scientist at RStudio
11

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

4 hours Play preview

Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.
12

Data Visualization with ggplot2 (Part 1)

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

5 hours

Rick Scavetta

Data Scientist and cofounder of Science Craft
13

Data Visualization with ggplot2 (Part 2)

Take your data visualization skills to the next level with coordinates, facets, themes, and best practices in ggplot2.

5 hours

Rick Scavetta

Data Scientist and cofounder of Science Craft
14

Data Visualization with ggplot2 (Part 3)

This course covers some advanced topics including strategies for handling large data sets and specialty plots.

6 hours

Rick Scavetta

Data Scientist and cofounder of Science Craft
15

Introduction to Data

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Play preview

Mine Cetinkaya-Rundel

Associate Professor at Duke University
16

Exploratory Data Analysis

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours Play preview

Andrew Bray

Assistant Professor of Statistics at Reed College
17

Exploratory Data Analysis in R: Case Study

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hours Play preview

David Robinson

Data Scientist, Stack Overflow
18

Correlation and Regression

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Play preview

Ben Baumer

Assistant Professor at Smith College
19

Foundations of Inference

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours Play preview

Jo Hardin

Professor at Pomona College
20

Machine Learning Toolbox

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hours

Zachary Deane-Mayer

Data Scientist at Data Robot and co-author of caret
21

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours Play preview

Hank Roark

Senior Data Scientist, Boeing
22

Text Mining: Bag of Words

Learn the bag of words technique for text mining with R.

4 hours

Ted Kwartler

Assistant Vice President of Innovation at Liberty Mutual
23

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown.

3 hours

Garrett Grolemund

Data Scientist at RStudio
Statement of accomplishment

See all 23 courses

Jonathan Cornelissen

Co-founder and CEO of DataCamp

Filip Schouwenaars

Data Science Instructor at DataCamp

Nick Carchedi

Director of Content at DataCamp

Hadley Wickham

Chief Scientist at RStudio, author of ggplot2, dplyr, and tidyr

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