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Data Analyst in R

4.6+
19 reviews

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
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

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Data Analyst Certification available

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Instructors

  • Jonathan Cornelissen Headshot
    Jonathan CornelissenCo-founder of DataCampSee Jonathan Cornelissen's Portfolio
  • David Robinson Headshot
  • James Chapman Headshot
  • Sara Billen Headshot

Don’t just take our word for it

*4.6
from 19 reviews
68%
26%
5%
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  • Jon T.
    15 days

    Great courses to get you started on learning R.

  • Susana S.
    3 months

    Very good and well conceived. There are some minor queries on the help suggestion.

  • Thomas S.
    4 months

    Great content. Makes learning joy.

  • Christian D.
    11 months

    I really learned nearly everything I needed to know.

  • An Q.
    11 months

    t

"Great courses to get you started on learning R."

Jon T.

"Very good and well conceived. There are some minor queries on the help suggestion."

Susana S.

"Great content. Makes learning joy."

Thomas S.

FAQs

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