Below are the video training courses included in this Learning Path.
Data Exploration in Python
Presented by Allen Downey3 hours 30 minutes
Learn the common pitfalls of exploratory data analysis so you can manage, analyze, and present data with confidence. This video covers a range of topics, from the ETL process and data validation to statistical inference and hypothesis testing.
Data Visualization Basics with Python
Presented by Randy Olson1 hour
This video covers the basics of data visualization, including types of charts, common pitfalls and good practices in data visualization. You’ll also learn how to use matplotlib in the Jupyter Notebook.
Data Wrangling and Analysis with Python
Presented by Katharine Jarmul3 hours 17 minutes
In this video, you’ll learn the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data in the Python Pandas software library.