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 Nassau Community College
354,448 already enrolled
12,229 reviews
Recommended experience
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
- Seaborn
- Data Storytelling
- Interactive Data Visualization
- Plotly
- Dashboard
- Matplotlib
- Geospatial Mapping
- Histogram
- Scatter Plots
- Geospatial Information and Technology
- Data Visualization Software
- Data Visualization
- Data Presentation
- Python Programming
- Data Analysis
- Jupyter
- Skills section collapsed. Showing 10 of 16 skills.
Details to know

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Reviewed on Apr 30, 2020
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.
Reviewed on Oct 3, 2020
The way of design this course is so interesting , quizes , lab session is so good ,Final assignment is great ,to increase skill on data visualization with python is best course on coursera



