In this Data Visualization Basics with Python training course, expert author Randy Olson will teach you how to create effective data visualizations in Python. This course is designed for users that already have some experience with programming in Python.
You will start by learning about the basics of data visualization, including types of charts, common pitfalls and good practices in data visualization, and data sources. Finally, Randy …
Data Visualization Basics with Python
Video description
In this Data Visualization Basics with Python training course, expert author Randy Olson will teach you how to create effective data visualizations in Python. This course is designed for users that already have some experience with programming in Python.
You will start by learning about the basics of data visualization, including types of charts, common pitfalls and good practices in data visualization, and data sources. Finally, Randy will teach you about matplotlib, including how to use matplotlib in the Jupyter Notebook, matplotlib styles, and subplots and small multiples.
Once you have completed this computer based training course, you will have learned a number of tips, tricks, and best practices for creating effecting data visualizations in Python. Working files are included, allowing you to follow along with the author throughout the lessons.
Storytelling - What Story Do You Want To Tell?
00:03:18
Types Of Charts - Their Purposes And How To Choose The Right One
00:06:22
Choosing The Right Colors
00:04:00
Common Pitfalls In Data Visualization
00:04:01
Good Practices In Data Visualization
00:01:59
Reproducibility In Data Visualization
00:02:41
Data Sources
00:02:28
Data Vis In Python - matplotlib
The Programmatic Visualization Framework
00:03:30
Using matplotlib In The Jupyter Notebook
00:02:32
matplotlib Styles
00:03:49
Making Basics Plots - Lines, Bars, Pies And Scatterplots
00:12:14
Plotting Distributions - Histograms And Box Plots
00:04:35
Subplots And Small Multiples
00:03:59
Conclusion
Wrap Up
00:01:36
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