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Genre: eLearning
Overview
In this 17-hour course, you will learn the fundamentals and advanced techniques of data analysis using Python and the Pandas library. The course covers everything from setting up your environment to performing complex data manipulations and visualizations.
Set up Python and Jupyter Lab for data analysis projects
Understand and manipulate different data types in Python
Create and manage pandas Series and DataFrames
Perform data filtering, sorting, and aggregation
Visualize data and present findings with matplotlib
Boris Paskhaver is a full-stack developer, educator, and author based in New York City. He has created over 250 hours of content on Udemy and has worked with clients like Warby Parker, Blue Apron, and Vanguard. He is also the author of ‘Pandas in Action.’
Who is it for?This course is designed for aspiring data analysts, developers looking to incorporate data analysis into their projects, and anyone interested in learning Python for data manipulation. A basic understanding of Python is recommended.
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