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Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.

Best Udemy Free Courses 2023,Python,Tech and Progrmming

Learn Data Cleaning with Python

 

 

What you’ll learn
  • I can standardize a dataset by fixing inconsistent column names.
  • I can perform data type conversion to fix inaccurate data.
  • I can find and fix syntax errors in a dataset.
  • I can find and fix typos in a dataset.
  • I can deal with irrelevant data in a dataset.
  • I can remove any duplicate records in a dataset.
  • I can find and deal with missing data in a dataset.
  • I can find and deal with outliers in a dataset.

 

 

 

Requirements
  • You will need to have basic python programming proficiency.
  • You will need a modern browser i.e. Google Chrome or Mozilla Firefox.
 
Description
 

By the end of this course, you will be able to:

 

  • I can standardize a dataset by fixing inconsistent column names.
  • I can perform data type conversion to fix inaccurate data.
  • I can find and fix syntax errors in a dataset.

 

  • I can find and fix typos in a dataset.
  • I can deal with irrelevant data in a dataset.

 

  • I can remove any duplicate records in a dataset.
  • I can find and deal with missing data in a dataset.
  • I can find and deal with outliers in a dataset.

 

Who this course is for:
  • This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.

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Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.

Learn Data Cleaning with Python Programming

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