Every price and rating checked against the provider 636 courses Free counselling
HomeData Visualization CoursesData Visualization with Python
Coursera

Data Visualization with Python

Data Visualization with Python is a beginner-level online course from Coursera in Data Visualization. It is structured in 5 modules with 4 stated learning outcomes, over 18h 38m. Learners rate it 4.5/5 from 12.3K ratings on Coursera.

Part of our Data Visualization courses collection, where we compare it against 2 other courses.

★★★★★4.5(12.3K reviews) English

Course highlights

Provider Coursera
Duration 18h 38m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.5★ (12.3K reviews)
Price Check price Free

What you’ll learn

Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

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.
What the provider says you need first:
  • This course requires a working knowledge of the Python programming language and using Jupyter Notebooks. 
Time commitment: 18h 38m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Data AnalysisPlot (Graphics)DashboardSeabornScatter PlotsData PresentationMatplotlibDashboard CreationData Visualization SoftwarePlotlySpatial Data AnalysisPython Programming

What this course covers

5 modules

The 5-part outline Coursera publishes for this course, across 18h 38m.

Module 1 · Introduction to Data Visualization Tools
Module 2 · Basic and Specialized Visualization Tools
Module 3 · Advanced Visualizations and Geospatial Data
Module 4 · Creating Dashboards with Plotly and Dash
Module 5 · Final Project and Exam

What learners rate it

4.5
★★★★★
12.3K ratings

Rated 4.5/5 by 12.3K 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 Python This Coursera 4.5★ Check price 18h 38m Highest rated (4.5★ from 12.3K reviews)
Data Visualization with Tableau Coursera 4.5★ Check price 1 month Beginner-friendly · 1 month
Learn R Codecademy 4.5★ Free 14h Free — and still gives a certificate
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 Python 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 Python 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 Python take?

Coursera lists it at 18h 38m. 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 Python suitable for beginners?

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

What does Data Visualization with Python cover?

It is organised into 5 modules, starting with Introduction to Data Visualization Tools and going on to Basic and Specialized Visualization Tools, Advanced Visualizations and Geospatial Data, Creating Dashboards with Plotly and Dash, Final Project and Exam. The full outline is on this page.