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Data Analyst with R

4.6+
18 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

2
R
Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

3
R
Data Manipulation with dplyr

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

4
R
Dr. Semmelweis and the Importance of Handwashing

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

5
R
Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours

DataCamp Content Creator

Course Instructor

6
R
Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours

Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

7
R
Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hours

Rick Scavetta Headshot

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

8
R
Data Manipulation with R
9
R
Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours

Andrew Bray Headshot

Andrew Bray

Assistant Professor of Statistics at Reed College

10
R
Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

11
R
Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

12
R
Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

2 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

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*4.6
from 18 reviews
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  • Susana S.
    18 days

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

  • Thomas S.
    about 2 months

    Great content. Makes learning joy.

  • Christian D.
    8 months

    I really learned nearly everything I needed to know.

  • An Q.
    8 months

    t

  • Nakena L.
    9 months

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

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

Susana S.

"Great content. Makes learning joy."

Thomas S.

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

Christian D.

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