After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
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?
Prerequisites
Curriculum
Course outline
1
Introduction to Plotly
Enter the world of Plotly! In this first chapter, you’ll learn different ways to create plots and receive an introduction to univariate plots. You’ll then build several popular plot types, including box plots and histograms, and discover how to style them using the Plotly color options.
- Plotly and the Plotly Figure50 XP
- Playing with a Plotly Figure50 XP
- Fixing a Plotly figure100 XP
- Univariate visualizations50 XP
- Student scores bar graph100 XP
- Box plot of company revenues100 XP
- Histogram of company revenues100 XP
- Customizing color50 XP
- What color did we use?50 XP
- Coloring student scores bar graph100 XP
- Side-by-side revenue box plots with color100 XP
- Revenue histogram with stacked bars100 XP
2
Customizing Plots
Add to your Plotly toolkit as you explore and implement bivariate plots. Next, you’ll explore how to customize your plots to make them look amazing with annotations, hover information, legends, and custom axis titles and scales.
3
Advanced Customization
Take your Plotly graphs to the next level with more advanced customizations. Through hands-on exercises, you'll learn how to layer multiple interactive chart types in the same plot (such as a bar chart with a line chart over the top). You'll then create time-series selectors, such as year to date (YTD), to help you zoom in and out of your line charts.
4
Advanced Interactivity
In this final chapter, you'll harness Plotly's advanced user interactivity as you learn how to create buttons, dropdowns, and sliders that change everything from graph types to annotations and much more. Take your Plotly skills to the next level and build truly interactive user experiences.
Introduction to Data Visualization with Plotly in Python
Course
Complete
