CAREER TRACK

Data Scientist with R

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

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R Language
89 hours
22 Courses

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 of DataCamp
2

Intermediate R

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

6 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
3

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collect...

4 hours Play preview

David Robinson

Chief Data Scientist, 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

Product Manager 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

Product Manager at DataCamp
8

Introduction to Function Writing in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours

Richie Cotton

Head of Content Quality at DataCamp
9

Data Manipulation with dplyr in R

Learn to transform and manipulate your data using dplyr.

4 hours

Chris Cardillo

Data Scientist at DataCamp
10

Joining Data with dplyr in R

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours

Chris Cardillo

Data Scientist at DataCamp
11

Intro to SQL for Data Science

Master the basics of querying tables in relational databases such as MySQL, Oracle, SQL Server, and PostgreSQL.

4 hours

Nick Carchedi

Product Manager at DataCamp
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

Rick Scavetta is a co-founder of Scavetta Academy.
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

Rick Scavetta is a co-founder of Scavetta Academy.
14

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hours Play preview

Charlotte Wickham

Assistant Professor at Oregon State University
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 & Data Scientist and Pr...
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

Chief Data Scientist, DataCamp
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

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract in...

4 hours Play preview

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center
20

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours Play preview

Brett Lantz

Data Scientist at the University of Michigan
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

Joining Data in SQL

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

5 hours Play preview

Chester Ismay

Data Science Evangelist at DataRobot
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Jonathan Cornelissen

Co-founder of DataCamp

Filip Schouwenaars

Data Science Instructor at DataCamp

David Robinson

Chief Data Scientist, DataCamp

Nick Carchedi

Product Manager at DataCamp

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Data Scientist with R

Introduction to R

Intermediate R

Introduction to the Tidyverse

Importing Data in R (Part 1)

Importing Data in R (Part 2)

Cleaning Data in R

Importing & Cleaning Data in R: Case Studies

Introduction to Function Writing in R

Data Manipulation with dplyr in R

Joining Data with dplyr in R

Intro to SQL for Data Science

Data Visualization with ggplot2 (Part 1)

Data Visualization with ggplot2 (Part 2)

Working with Dates and Times in R

Introduction to Data

Exploratory Data Analysis

Exploratory Data Analysis in R: Case Study

Correlation and Regression

Cluster Analysis in R

Supervised Learning in R: Classification

Unsupervised Learning in R

Joining Data in SQL

Statement of accomplishment

Put your data skills to the test Beta

Ready To Learn

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Courses

Tracks

Instructors

Data Scientist with R

Introduction to R

Intermediate R

Introduction to the Tidyverse

Importing Data in R (Part 1)

Importing Data in R (Part 2)

Cleaning Data in R

Importing & Cleaning Data in R: Case Studies

Introduction to Function Writing in R

Data Manipulation with dplyr in R

Joining Data with dplyr in R

Intro to SQL for Data Science

Data Visualization with ggplot2 (Part 1)

Data Visualization with ggplot2 (Part 2)

Working with Dates and Times in R

Introduction to Data

Exploratory Data Analysis

Exploratory Data Analysis in R: Case Study

Correlation and Regression

Cluster Analysis in R

Supervised Learning in R: Classification

Unsupervised Learning in R

Joining Data in SQL

Statement of accomplishment

Put your data skills to the test Beta

Ready To Learn