Master Data Cleaning for Accurate Analytics 📊 | Google Data Analytics Certificate

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.

The program, created by Google employees in the field, is designed to provide you with job-ready skills in about 6 months to start or advance your career in data analytics.

Take the Certificate HERE: https://www.coursera.org/google-certificates/data-analytics-certificate?utm_source=google&utm_medium=institutions&utm_campaign=youtube-organic__geo--Global&utm_content=vid--kCP-H8VRDCw__topic--DA&utm_term=youtube-description

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