More Python Tips, Tricks, and Techniques for Data Science Preview

More Python Tips, Tricks, and Techniques for Data Science

With Harshit Tyagi Liked by 208 users
Duration: 1h 58m Skill level: Intermediate Released: 10/1/2020

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Course details

The power and versatility of Python—coupled with its large ecosystem of third-party packages—make it indispensable to data scientists. In this course, instructor Harshit Tyagi shares practical tips and techniques that can help you enhance your own Python data science workflow. Harshit covers how to work with IPython notebooks, including how to debug errors. He shows how to use NumPy to manipulate arrays, as well as how to work with pandas, the data manipulation and analysis tool. He provides tips for visualizing your data with Matplotlib, explaining how to add text to plots and annotate elements on a chart. Plus, get best practices for working with scikit-learn, as well as other machine learning tips.

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Contents

What’s included

  • Practice while you learn 2 exercise files
  • Test your knowledge 4 quizzes
  • Learn on the go Access on tablet and phone
  • Stay up to date Continuing Education Units

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