Python for Data Analysis - Cleaning and Preparing Data - Data Analysis with Python - Part 7

📚 Get the book "Python for Data Analysis": https://amzn.to/3Kq9W3k 📖 Read online: https://wesmckinney.com/book 🔨 FREE Skillshare 30-day trial: https://skillshare.eqcm.net/5b4ddL 🎬 Playlist Python for Data Analysis: https://www.youtube.com/watch?v=cVSb6-yaYMc Link to book resources (GitHub): https://github.com/wesm/pydata-book ⏱ Timestamps 0:00 - Introduction 0:47 - Handling Missing Data 2:42 - Filtering Out Missing Data 5:28 - Filling In Missing Data 6:58 - Data Transformation 7:08 - Removing Duplicates 10:05 - Transforming Data Using a Function or Mapping 11:39 - Replacing Values 13:44 - Renaming Axis Indexes 16:35 - Discretization and Binning 24:40 - Detecting and Filtering Outliers 26:09 - Permutation and Random Sampling 27:43 - Computing Indicator/Dummy Variables 29:38 - Extension Data Types 31:08 - String Manipulation 31:19 - Python Built-In String Object Methods 34:04 - Regular Expressions 35:19 - String Functions in pandas 37:06 - Categorical Data 39:02 - Categorical Extension Type in pandas 40:40 - Categorical Methods 42:04 - Summary