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career track

Data Analyst with R

Gain the career-building R skills you need to succeed as a data analyst! No prior coding experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data in R—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr. You’ll also develop your data manipulation and exploratory data analysis skills by working with a wide range of real-world datasets, including everything from U.S. income data to global food consumption. You’ll then gain the statistical skills you'll need to perform hypothesis testing. Start this track, grow your R skills, and begin your journey to becoming a confident data analyst.

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1
R
Introduction to R

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

4 hours

Jonathan Cornelissen Headshot

Jonathan Cornelissen

Co-founder of DataCamp

Instructors