[Free] Learn Data Cleaning With Python

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

Added on June 28, 2024 Development 1 min read

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.

Author(s): Valentine Mwangi