This course teaches how to create various types of interactive data visualizations using Plotly in Python. By the end of the course, students will be able to build bar graphs, treemaps, 3D scatter plots, animated scatter plots, racing bar graphs, pie charts, strip plots, scatter plots, box & violin plots, icicle charts, and heatmaps. The teaching method includes hands-on tutorials and practical exercises. This course is intended for individuals interested in data visualization, particularly using Plotly in Python.
Overview
Syllabus
Introduction to Plotly Data Visualization.
Bar Graph -- Python Plotly.
Sunburst Treemap Tutorial - Plotly.
Create 3D Scatter Plot -- Python Plotly.
Animated Scatter Plot - Python Plotly.
Create Racing Bar Graph - Python Plotly.
Pie Chart -- Python Plotly.
How to build a Strip Plot -- Python Plotly.
Scatter Plot -- Python Plotly (part 1).
Scatter Plot -- Python Plotly (part 2).
Box & Violin Plots - Python Plotly.
Introduction to Dash Plotly - Data Visualization in Python.
Mapping over 1 Million points with Plotly Datashader.
Deploy your First App with Heroku and Dash Plotly.
Heatmap for Subscription Churn - Dash Plotly.
Create Icicle Charts with Plotly Express.
Taught by
Charming Data
Related Courses
-
Crash Course on Interactive Data Visualization with Plotly
-
Interactive Statistical Data Visualization 101
-
Data Visualization using Matplotlib & Plotly(Python Library)
-
Visualization for Statistical Analysis
-
Create Digital Marketing Visualizations in Python
-
Interactive Python Dashboards with Plotly and Dash
