Data Visualization with Python

Description

In this course, 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

Syllabus:

• Introduction to Data Visualization Tools
• Basic and Specialized Visualization Tools
• Advanced Visualizations and Geospatial Data
• Creating Dashboards with Plotly and Dash