- Box Plots
- Interactive Data Visualization
- Data Visualization
- Data Presentation
- Dashboard
- Python Programming
- Pandas (Python Package)
- Matplotlib
- Data Visualization Software
- Data Analysis
- Geospatial Information and Technology
- Heat Maps
Data Visualization with Python
Completed by Alexander Tichonow
June 15, 2024
20 hours (approximately)
Alexander Tichonow's account is verified. Coursera certifies their successful completion of Data Visualization with Python
What you will 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 will gain
