Is this Track suitable for beginners?

No, prior knowledge of the DataCamp track Associate Data Scientist in R is assumed.

What is the programming language of this Track?

This Track utilizes the R programming language.

Which jobs will benefit from this Track?

This Track will prepare you for any data science-related job. It will give you the skills and training necessary to pass the Data Scientist Professional with R certification and make you an invaluable asset in the field of data science.

How will this Track prepare me for my career?

This Track covers a wide range of skills related to data science, such as data manipulation, visualization, and analysis, as well as real-world datasets, your own functions, and foundational statistical and machine learning techniques. Additionally, you will learn SQL for relational databases and Git for data science projects. All of these will help to prepare you for a career in data science.

How long does it take to complete this Track?

The Track usually takes 107 hours to complete as it consists of several courses that significantly upskill users.

What's the difference between a skill track and a career track?

A skill track is a collection of courses that focus on one specific skill set. A career track is much more comprehensive and consists of multiple different courses meant to help build the skills you need to start a career in a particular field.

Are the datasets provided in this track real?

Yes, the datasets provided in this track are all created from real-world examples.

Are there any prerequisites for taking this Track?

No, this track assumes that the user has no prior knowledge of data science or R programming, but some basic knowledge of programming is helpful.

Does DataCamp offer Data Scientist Certification?

Yes. DataCamp's industry recognized Certifications include the Data Scientist Certifications , designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Scientist.

Data Scientist in R

Certification available

Updated 03/2026

Learn data science with R, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in R certification!

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Track Description

Data Scientist in R

Master the skills you need to pass the Data Scientist in R certification and prepare yourself for success in the field of data science.As you progress through the courses in this track, you will focus on using R for data science. You will explore how learning data science with R can help you to import, clean, manipulate, and visualize data, and develop a solid foundation for your data science journey.You’ll cover a range of different skills, including data manipulation, visualization, and analysis, using popular R packages like ggplot2, dplyr, and readr. You will work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. You will also gain an understanding of SQL for relational databases and Git for data science projects, two essential tools for any data scientist.Through interactive exercises, you will get hands-on experience with R programming and the popular packages used in the field of data science. Completing this track will give you the knowledge and experience necessary to confidently pass the Data Scientist in R certification and thrive as a data scientist.

Prerequisites

Associate Data Scientist

Course
31
Intermediate Importing Data in R
Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.
Course
32
Developing R Packages
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Course
33
Machine Learning for Business
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Course
34
Feature Engineering in R
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Course
AI Native
35
Introduction to SQL
Learn how to create and query relational databases using SQL in just two hours.
Course
AI Native
36
Intermediate SQL
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Project
bonus
Analyzing Students' Mental Health
Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.
Course
38
Joining Data in SQL
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Project
bonus
When Was the Golden Era of Video Games?
Use SQL to figure out the golden era of video games!
Course
40
Introduction to Git
Discover the fundamentals of Git for version control in your software and data projects.
Course
41
Intermediate Git
Discover branches and remote repos for version control in collaborative software and data projects using Git!