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

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⏱ 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
  1. Learning Python
  2. python
  3. data analysis
  4. python for data analysis
  5. Wes McKinney
  6. ipython
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I started reading through the online resource and am ahead but it is always good to watch your videos to reenforce what I learned. This book is pretty good and it is fun to learn, thanks for your videos.

Kicsa