Data cleaning is essential for successful analysis. If a piece of data is entered into a spreadsheet or database incorrectly, or if data formats are inconsistent, the result is dirty data. Let's go through why and how to clean data.

0:00 Getting Started with Data Cleansing
3:20 Why Data Cleaning is Important
9:05 Identify Dirty Data
14:31 Starting the Data Cleansing Process
20:51 Cleaning Data from Multiple Sources
26:37 Data Cleaning Features
34:43 Optimize the Data Cleaning Process
48:50 Data Perspectives
59:12 Even More Data Cleaning Techniques

This video is part of the Google Data Analytics Certificate which teaches learners how to prepare, process, analyze, share, and act on data.

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