Learn to create dynamic and interactive data visualizations using Python's Plotly library in this comprehensive 7-hour tutorial series. Master various chart types including bar graphs, sunburst treemaps, 3D scatter plots, animated scatter plots, racing bar graphs, pie charts, strip plots, box plots, violin plots, and heatmaps. Explore advanced techniques like mapping over 1 million points with Plotly Datashader and creating icicle charts. Dive into Dash Plotly for building interactive web applications and learn how to deploy your first app using Heroku. Gain practical skills to effectively visualize and analyze data, making complex information more accessible and engaging.