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Data Science with Python

Lesson 2.5 Data Cleaning

Description

In this lesson, students will learn the importance of data cleaning and how to do it. Data cleaning deals with fixing or removing incorrect or missing values.


Objective

Students will be able to:

  • Use functions to explore the completeness of a dataset
  • Decide whether to drop, fix, or replace missing or incorrect data
  • Perform imputation which is the process of fixing or removing incorrect or incomplete data within a dataset