Data Visualization with Python
Completed by Žana-Ljubica Krstičević
March 11, 2019
18 hours (approximately)
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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
- Category: Dashboard
- Category: Data Storytelling
- Category: Data Presentation
- Category: Geospatial Mapping
- Category: Seaborn
- Category: Data Analysis
- Category: Interactive Data Visualization
- Category: Data Visualization Software
- Category: Spatial Data Analysis
- Category: Plot (Graphics)
- Category: Histogram
- Category: Data Visualization
