Python for Data Science Tips, Tricks, and Techniques Preview

Python for Data Science Tips, Tricks, and Techniques

With Ben Sullins Liked by 323 users
Duration: 1h 1m Skill level: Intermediate Released: 12/2/2022

Course details

Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.

Skills you’ll gain

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Meet the instructor

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Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 3 quizzes
  • Learn on the go Access on tablet and phone

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