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 STMicroelectronics
354,217 already enrolled
12,229 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 Visualization
- Data Storytelling
- Geospatial Information and Technology
- Data Visualization Software
- Python Programming
- Scatter Plots
- Geospatial Mapping
- Data Presentation
- Jupyter
- Histogram
- Data Analysis
- Interactive Data Visualization
- Seaborn
- Matplotlib
- Dashboard
- Plotly
- Skills section collapsed. Showing 9 of 16 skills.
Details to know
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Taught in English
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Showing 3 of 12229
MN
Reviewed on May 15, 2019
HK
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!
SS
Reviewed on Sep 24, 2019
Kindly update the final assessment of this course work since it is quite difficult to work with it, as the content related to the assessment cannot be found in the course videos. Thanks !
