Career Track

Data Analyst with R

Gain the analytical skills you need to open the door to a new career as a data analyst. No 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 Australian population figures to Netflix films. You’ll then gain the SQL skills you'll need to query data from databases and join tables. Start this track, grow your R and SQL skills, and begin your journey to becoming a confident data analyst.

  • R
  • 77 hours
  • 19 courses
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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


Jonathan Cornelissen

Co-founder of DataCamp

Filip Schouwenaars

Data Science Instructor at DataCamp

David Robinson

Chief Data Scientist, DataCamp

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