Understanding Data Cleaning | 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 Subscribe HERE: https://goo.gle/subscribegcc #GrowWithGoogle #GoogleCareerCertificate #DataAnalytics Why earn a Google Career Certificate? ► No experience necessary: Learn job-ready skills, with no college degree required. ► Learn at your own pace: Complete the 100% online courses on your own terms. ► Stand out to employers: Make your resume competitive with a credential from Google. ► A path to in-demand jobs: Connect with top employers who are currently hiring.