Data Cleaning Using Python Full Tutorial | Data Cleaning in Python
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In this video we are going to see the basics of Data Cleaning . These are the fundamentals of Data Cleaning and essential trainings. we will see more and more in upcoming videos.
Exercise Files Direct Link:-👇👇👇
https://jmp.sh/jVT929AS
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//Chapters and time splits
00:00:00-00:00:34 Why is clean data important?
00:00:35-00:01:08 What you should know
00:01:09-00:02:04 Types of errors
00:02:05-00:04:07 Missing values
00:04:08-00:06:56 Bad values
00:06:57-00:08:15 Duplicates
00:08:16-00:09:16 Human errors
00:09:17-00:10:01 Machine errors
00:10:02-00:11:00 Design errors
00:11:01-00:11:17 Challenge: UI design
00:11:18-00:12:03 Solution: UI design
00:12:04-00:14:09 Schemas
00:14:10-00:15:27 Validation
00:15:28-00:17:51 Finding missing data
00:17:52-00:18:50 Domain knowledge
00:18:51-00:19:50 Subgroups
00:19:51-00:20:19 Challenge: Find bad data
00:20:20-00:21:23 Solution: Find bad data
00:21:24-00:23:35 Serialization formats
00:23:36-00:25:24 Digital signatures
00:25:25-00:27:50 Data pipelines and automation
00:27:51-00:30:23 Transactions
00:30:24-00:31:16 Data organization and tidy data
00:31:17-00:33:02 Process and data quality metrics
00:33:03-00:33:56 Challenge: ETL
00:33:57-00:35:47 Solution: ETL
00:35:48-00:37:27 Renaming fields
00:37:28-00:39:03 Fixing types
00:39:04-00:41:16 Joining and splitting data
00:41:17-00:42:29 Deleting bad data
00:42:30-00:44:29 Filling missing values
00:44:30-00:45:34 Reshaping data
00:45:35-00:46:27 Challenge: Workshop earnings
00:46:28-00:48:56 Solution: Workshop earnings
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