English | Size: 812.92 MB
Genre: eLearning
Have you ever been confused by all the different python plotting libraries? Have you tried to make a “simple” plot and gotten stuck and been unable to move forward? Do you want to make sophisticated, interactive data visualizations in python? If you answer yes, to any of these questions, then this course is for you.
What topics are covered
In this course, you will:
Review the python visualization landscape
Explore core visualization concepts
Use matplotlib to build and customize visualizations
Build and customize simple plots with pandas
Learn about seaborn and use it for statistical visualizations
Create visualizations using Altair
Generate interactive plots using the Plotly library
Design interactive dashboards using Streamlit
Construct highly custom and flexible dashboards using Plotly’s Dash framework
Who is this course for?
Developers and Data Analysts that have some experience with python but have not developed a competency in a python visualization library. This course is also helpful for those that feel restricted by their current plotting tools and wish to explore other options.
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