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!
Data Visualization with Python
Data Visualization with Python
This course is part of multiple programs.
Instructors: Saishruthi Swaminathan
Access provided by Ross Strategic
353,522 already enrolled
12,226 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
- Data Presentation
- Geospatial Mapping
- Histogram
- Interactive Data Visualization
- Geospatial Information and Technology
- Matplotlib
- Seaborn
- Scatter Plots
- Data Visualization
- Python Programming
- Data Visualization Software
- Plotly
- Dashboard
- Data Analysis
- Data Storytelling
- Jupyter
- Skills section collapsed. Showing 10 of 16 skills.
Details to know
Shareable certificate
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Taught in English
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Showing 3 of 12226
HK
Reviewed on Apr 30, 2020
MN
Reviewed on May 15, 2019
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.
AM
Reviewed on Aug 13, 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!!!
