This Track is designed around the programming language R.

This Track is designed to help data professionals and researchers gain the skills they need to succeed. It will help aspiring data analysts and statistician gain the necessary skills to be successful.

This Track will give you the necessary R skills to handle the importation, cleaning, manipulation, and visualisation of data. You will also learn data manipulation and exploratory data analysis with real-world datasets, as well as the statistical techniques to perform hypothesis testing.

It typically takes 36 hours to complete this Track, as it's made up of several courses.

A skill track is designed to teach users a specific technical skill, like R programming, while a career track covers the job-specific skills and knowledge needed to be successful, such as data manipulation and hypothesis testing.

The courses in this Track will teach you how to use the popular R packages including ggplot2 and tidyverse packages like dplyr and readr, how to import, clean, manipulate, and visualise data in R, data manipulation and exploratory data analysis with a range of real-world datasets, and the statistical skills to perform hypothesis testing.

In this Track, you'll be working with a wide range of real-world datasets, including everything from U.S. income data to global food consumption.

Yes. DataCamp's industry recognized Certifications include the Data Analyst Certifications (ranked #1 by Forbes), designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Analyst.