Data Cleaning in Python with Real-Life Dataset

To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/ThePyCoach . You’ll also get 20% off an annual premium subscription.

Dataset: https://github.com/thepycoach/data_pr...

Cleaning data is one of the most common tasks data analysts and scientists have to do and in this tutorial, we’ll learn how to clean data using Python and Pandas

🔥 My FREE ChatGPT Cheat Sheet: https://frankandrade.ck.page/08c94cf1c1

My Courses
==========
🔥 Join My Automation Course in Python: https://www.udemy.com/course/automate...
🔥 Join My Python for Data Science Bootcamp: https://www.udemy.com/course/python-f...
🔥 8-hour Web Scraping Course in Python: https://www.udemy.com/course/web-scra...
💰 Make money by writing about AI, programming, data science or tech: https://thepycoach.teachable.com/p/me...

Support My Work
==============
💵 PayPal: https://www.paypal.com/donate/?hosted...

Content
0:00 Intro
5:18 Identifying Missing Data
15:45 Dealing with Missing Data (.drop .dropna)
28:20 Dealing with Missing Data (.fillna)
42:27 Extracting Data

Disclaimer: This video was sponsored by Brilliant