Data Cleaning in Python Essential Training
Focused View
1:05:31
211 View
01 - Why is clean data important.mp4
00:35
02 - What you should know.mp4
01:25
03 - Using GitHub Codespaces with this course.mp4
06:01
01 - Types of errors.mp4
00:56
02 - Missing values.mp4
02:42
03 - Bad values.mp4
03:16
04 - Duplicates.mp4
01:21
01 - Human errors.mp4
01:01
02 - Machine errors.mp4
00:45
03 - Design errors.mp4
00:59
04 - Challenge UI design.mp4
00:17
05 - Solution UI design.mp4
00:46
01 - Schemas.mp4
02:31
02 - Validation.mp4
01:29
03 - Finding missing data.mp4
02:54
04 - Domain knowledge.mp4
01:19
05 - Subgroups.mp4
01:27
06 - Challenge Find bad data.mp4
00:29
07 - Solution Find bad data.mp4
01:22
01 - Serialization formats.mp4
02:23
02 - Digital signature.mp4
02:03
03 - Data pipelines and automation.mp4
03:42
04 - Transactions.mp4
02:38
05 - Data organization and tidy data.mp4
00:53
06 - Process and data quality metrics.mp4
02:01
07 - Challenge ETL.mp4
00:58
08 - Solution ETL.mp4
02:38
01 - Renaming fields.mp4
02:16
02 - Fixing types.mp4
01:48
03 - Joining and splitting data.mp4
02:32
04 - Deleting bad data.mp4
01:23
05 - Filling missing values.mp4
02:47
06 - Reshaping data.mp4
01:14
07 - Challenge Workshop earnings.mp4
00:59
08 - Solution Workshop earnings.mp4
03:11
01 - Next steps.mp4
00:30
More details
User Reviews
Rating
average 0
Focused display
Category
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 36
- duration 1:05:31
- Release Date 2023/04/08
