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Data Cleaning in Python Essential Training Preview

Data Cleaning in Python Essential Training

With Miki Tebeka Liked by 748 users
Duration: 1h 5m Skill level: Intermediate Released: 11/9/2022

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Course details

If you’re looking for more efficient ways to prepare your data for analysis, it’s time to level up your skill set and reassess your approach to data cleaning. In this course, instructor Miki Tebeka shows you some of the most important features of productive data cleaning and acquisition, with practical coding examples using Python to test your skills. Learn about the organizational value of clean high-quality data, developing your ability to recognize common errors and quickly fix them as you go. Along the way, Miki offers cleaning strategies that can help optimize your workflow, including tips for causal analysis and easy-to-use tools for error prevention.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.4 out of 5

335 ratings
  • 5 star
    Current value: 237 71%
  • 4 star
    Current value: 42 13%
  • 3 star
    Current value: 26 8%
  • 2 star
    Current value: 14 4%
  • 1 star
    Current value: 16 5%
  • Paradise Yuille Paradise Yuille

    Paradise Yuille

    Actuarial Analyst specializing in Pension Plans and Financial Analysis at Bacon Woodrow & De Souza Ltd

    2/5 May 9, 2025
    Easy to follow but there was an error in the codespace (the numPy version apparently is too updated to be compatible with the pandas library.... there needs to be updated code to allow for this instead of making learners have to troubleshoot the problem themselves... could not practice alongside the videos due to this problem. it needs updating.
    Helpful · Report
  • Rex Nelson Rex Nelson

    Rex Nelson

    Computational Biologist

    5/5 May 2, 2025
    Very useful examples. Had some tools and concepts that I had not been exposed to in the past.
    Helpful · Report

Contents

What’s included

  • Test your knowledge 5 quizzes
  • Learn on the go Access on tablet and phone

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