FeaturedUdemy
Introduction to Data Visualization with Plotly in Python
4.8(489)21k studentsBEGINNEREnglish
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Course Overview
Interactive web graphics bring exploratory data analysis to life. This beginner course shows you how to use Plotly in Python to generate publication-quality interactive charts complete with hover tooltips, range sliders, custom buttons, and dynamic dropdown filters.
Who Should Enroll?
Ideal for beginners and intermediate Python users wanting to build responsive, interactive charts without needing web development expertise.
Key Takeaways
- Interactive Charts: Create styled interactive scatter plots, bar charts, and line graphs using Plotly Express and Graph Objects.
- Dynamic Controls: Add interactive range sliders, custom buttons, and dropdown menus to control visual outputs.
- Custom Tooltips & Formatting: Customize hover labels, themes, and layouts for refined data presentation.
About this course
Producing high-quality, interactive visualizations historically required complex code, extensive time, and effort. Not anymore. In this course, you’ll learn how to create publication-quality graphs, harnessing the power of JavaScript, without leaving the comfort of the Python programming language we all love. You’ll create, style, and customize a variety of stunning, interactive graphs—using datasets ranging from stock prices to basketball team stats, and even penguin beak sizes! Using the Plotly charting library, you’ll also learn to customize interactivity such as hover information, range sliders, custom buttons, and even drop-downs that reactively change the visualization. Are you ready to level up your data visualization skills?
Price
Free
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