LinkedIn - Data Cleaning in Python Essential Training

[OneDDL]

[img]https://i115.fastpic.org/big/2021/1003/4b/e03706fea062c4f9ab199801573c674b.jpeg[/img]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 49m | Size: 194 MB
Do you need to understand how to keep data clean and well-organized for your company? In this course, instructor Miki Tebeka explains why clean data is so important, what can cause errors, and how to detect, prevent, and fix errors to keep your data clean. Miki explains the types of errors that can occur in data, as well as missing values or bad values in the data. He goes over how human errors, machine-introduced errors, and design errors can find their way into your data, then shows you how to detect these errors. Miki dives into error prevention, with techniques like digital signatures, data pipelines and automation, and transactions. He concludes with ways you can fix errors, including renaming fields, fixing types, joining and splitting data, and more.

Homepage

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