Chapters
Introduction
Introduction
0:00
Introduction
0:00
Learning Goals
Learning Goals
1:28
Learning Goals
1:28
Why data needs to be cleaned
Why data needs to be cleaned
2:45
Python Tools
Python Tools
4:38
Python Tools
4:38
Notebook
Notebook
5:10
Notebook
5:10
Getting the Data
Getting the Data
5:28
Getting the Data
5:28
What is a Good Data Set
What is a Good Data Set
6:57
Correct Data
Correct Data
8:05
Correct Data
8:05
Coverage
Coverage
15:28
Coverage
15:28
Duplicates
Duplicates
17:33
Duplicates
17:33
Consistency
Consistency
20:18
Consistency
20:18
The Count
The Count
22:21
The Count
22:21
Ethics
Ethics
23:06
Ethics
23:06
Bias
Bias
25:22
Bias
25:22
Data Cleaning
Data Cleaning
26:09
Data Cleaning
26:09
Fill Other Data
Fill Other Data
27:04
Fill Other Data
27:04
Remove Missing Data
Remove Missing Data
27:33
Remove Missing Data
27:33
Remove Bad Labels
Remove Bad Labels
33:55
Remove Bad Labels
33:55
Handling Bad Coverage
Handling Bad Coverage
34:16
Handling Bad Coverage
34:16
Data Types
Data Types
35:44
Data Types
35:44
Questions
Questions
36:26
Questions
36:26
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Microsoft Reactor
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