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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.

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1
Intermediate Importing Data in R

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

3 hours

Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor at DataCamp

2
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.

4 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

3
Machine Learning for Business

Understand the fundamentals of Machine Learning and how it's applied in the business world.

2 hours

Karolis Urbonas Headshot

Karolis Urbonas

Head of Machine Learning and Science

4
Feature Engineering in R

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

4 hours

Jorge Zazueta Headshot

Jorge Zazueta

Research Professor

5
Introduction to SQL

Learn how to create and query relational databases using SQL in just two hours.

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

6
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!

4 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

7
Analyzing Students' Mental Health

Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

8
Joining Data in SQL

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Scientist, YouView TV

9
When Was the Golden Era of Video Games?

Use SQL to figure out the golden era of video games!

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

10
Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

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Prerequisites

  • Associate Data Scientist

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