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Data Visualization with R

Data Visualization with R is a beginner-level online course from Coursera in Data Visualization. It is structured in 4 modules with 4 stated learning outcomes, over 12h 17m. Learners rate it 4.6/5 from 274 ratings on Coursera.

Part of our Data Visualization courses collection, where we compare it against 4 other courses.

★★★★★4.6(274 reviews) English

Course highlights

Provider Coursera
Duration 12h 17m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.6★ (274 reviews)
Price Check price Free

What you’ll learn

Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.
Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.
Create maps using the Leaflet package for R.
Create interactive dashboards using the Shiny package for R.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 12h 17m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Data PresentationData Visualization SoftwareR ProgrammingGgplot2Data AnalysisGraphingShiny (R Package)Dashboard CreationScatter PlotsData VisualizationLeaflet (Software)Rmarkdown

What this course covers

4 modules

The 4-part outline Coursera publishes for this course, across 12h 17m.

Module 1 · Module 1 - Introduction to Data Visualization
Module 2 · Module 2 - Basic Plots, Maps, and Customization
Module 3 · Module 3 - Dashboards
Module 4 · Module 4 - Final Assignment

What learners rate it

4.6
★★★★★
274 ratings

Rated 4.6/5 by 274 learners on Coursera (checked 26 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 26 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Data Visualization with R This Coursera 4.6★ Check price 12h 17m Quickest to finish (12h 17m)
Power BI and Tableau for Data Visualization [2-in-1 Bundle] Udemy 4.6★ Free Free — and still gives a certificate
Data Visualization with Tableau Coursera 4.5★ Check price 1 month Beginner-friendly · 1 month
Data Visualization with Python Coursera 4.5★ Check price 18h 38m Beginner-friendly · 18h 38m
See all Data Visualization courses →

Where Data Visualization leads

Roles we map to Data Visualization on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.

Data Analyst

Browse every course we track for one of these — courses for data analysts.

Common questions

How much does Data Visualization with R cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Data Visualization with R come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Data Visualization with R take?

Coursera lists it at 12h 17m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Data Visualization with R suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Data Visualization with R cover?

It is organised into 4 modules, starting with Module 1 - Introduction to Data Visualization and going on to Module 2 - Basic Plots, Maps, and Customization, Module 3 - Dashboards, Module 4 - Final Assignment. The full outline is on this page.