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

Course images
Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
252 MB
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