More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums. Thank you.
Data Visualization with Python
Data Visualization with Python
This course is part of multiple programs.
Instructors: Saishruthi Swaminathan
Access provided by IPS Academy, Institute of Engineering & Science, Indore
336,759 already enrolled
4.5
(12,148 reviews)
Intermediate level
Recommended experience
Flexible schedule
1 hour to complete
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
Shareable certificate
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Taught in English
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Learner reviews
4.5
12,148 reviews
- 5 stars
68.86%
- 4 stars
19.25%
- 3 stars
6.26%
- 2 stars
2.87%
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Showing 3 of 12148
MN
4
Reviewed on May 15, 2019
HK
5
Reviewed on Apr 30, 2020
Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!
AA
5
Reviewed on Mar 31, 2020
This course was really interesting and it was great learning experience.A big thanks to a instructor.I got to know new things like folium library (most interesting library of python according to me)
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