You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on May 23, 2024. It is now read-only.
Seongjoo Brenden Song edited this page Jul 9, 2021
·
2 revisions
Every data analyst wants clean data to work with when performing an analysis. In this part of the course, you’ll learn the difference between clean and dirty data. You’ll also explore data cleaning techniques using spreadsheets and other tools.
Learning Objectives
Differentiate between clean and dirty data
Explain the characteristics of dirty data
Describe data cleaning techniques with reference to identifying errors, redundancy, compatibility and continuous monitoring
Identify common pitfalls when cleaning data
Demonstrate an understanding of the use of spreadsheets to clean data