This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.
Data Visualization with Python
Data Visualization with Python
This course is part of multiple programs.
Instructors: Saishruthi Swaminathan
316,508 already enrolled
Included with 
4.5
(12,037 reviews)
Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
91%
Most learners liked this course
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
Skills you'll gain
Details to know
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Taught in English
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Learner reviews
4.5
12,037 reviews
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Showing 3 of 12037
JG
5
Reviewed on Apr 17, 2020
SL
4
Reviewed on Nov 7, 2019
The final assignment requires self-research (not included in the course material) to fully complete the required items. The course shall cover all that the assignment requires, at least touch a bit.
AM
5
Reviewed on Aug 14, 2020
Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!
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