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Data Analyst with R

4.4+
13 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
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

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*4.4
from 13 reviews
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  • Rirabé D.
    7 months

    Very good

  • Christian D.
    5 months

    I really learned nearly everything I needed to know.

  • An Q.
    5 months

    t

  • Nakena L.
    5 months

    Gives valuable quantitative data analysis skills at one’s own pace, minimal charges and exercises help one to appreciate the process

  • Benard o.
    6 months

    Great content coverage, suitable for beginners with little/no background in R. Superb exercises for practice with real world datasets.

"Very good"

Rirabé D.

"I really learned nearly everything I needed to know."

Christian D.

"t"

An Q.

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