LinkedIn – Data Cleaning in Python Essential Training 2022-11

LinkedIn – Data Cleaning in Python Essential Training 2022-11 Downloadly IRSpace

LinkedIn – Data Cleaning in Python Essential Training 2022-11
LinkedIn – Data Cleaning in Python Essential Training 2022-11

Data Cleaning in Python Essential Training course. If you’re looking for more efficient ways to prepare your data for analysis, it’s time to upgrade your skill set and reevaluate your approach to data cleansing. In this course, instructor Miki Tebeka will show you some of the most important features of cleaning and gathering production data with practical coding examples using Python to test your skills. Learn about the organizational value of clean, high-quality data, develop your ability to spot common errors and quickly fix them on the go. Along the way, Miki provides cleaning strategies that can help optimize your workflow, including tips for root cause analysis and easy tools to avoid errors.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that provides all the functionality of your favorite IDE without requiring any local machine setup. With GitHub Codespaces, you can get hands-on training anytime, anywhere from any machine—all while using tools you’re likely to encounter at work. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

What you will learn in Data Cleaning in Python Essential Training course

  • Types of mistakes
  • Duplicates
  • Human errors
  • Machine errors
  • Design errors
  • Schemas
  • Validation
  • Find lost data
  • Domain knowledge
  • Subgroups
  • Organize data and order data
  • Process and data quality measures
  • And …

Details of Data Cleaning in Python Essential Training course

  • Publisher: Linkedin
  • Lecturer: Miki Tebeka
  • Training level: beginner
  • Training duration: 1 hour and 5 minutes

Course headings

Data Cleaning in Python Essential Training

Course images

Data Cleaning in Python Essential Training

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download file – 252 MB

File(s) password: www.downloadly.ir

Size

252 MB