Description
Data Cleaning in Python Essential Training course. In this course, the instructor of this course will teach you some of the most important features of cleaning and collecting data with practical and practical coding examples using the Python programming language. Learn about the value of clean, quality, noise-free data as well as strengthen your ability to spot common errors and quickly fix them using this course. Along the way, Miki provides data cleaning strategies that can help optimize your models. This course is integrated with GitHub Codespaces, this program runs in the Cloud environment and provides you with all the functions of your favorite IDE without the need for any installation or setup on your own system. With GitHub Codespaces, you can solve the exercises of this course at any time and on any operating system you want.
What you will learn in Data Cleaning in Python Essential Training course
- Types of errors
- Duplicates
- Human errors
- Machine errors
- Design errors
- Validation
- Find lost data
- Subgroups
- Data organization
- Data quality measures
- And …
Course details
- Publisher: Linkedin
- teacher: Miki Tebeka
- Training level: beginner
- Training duration: 1 hour and 5 minutes
Course headings
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
252 MB
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