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Updated in [July 27th, 2023]

This Data Quality Masterclass - The Complete Course is designed to provide learners with a comprehensive understanding of the Data Quality Management discipline. It is structured to make it easy for even absolute beginners to get started and covers the latest best practices from the Data Industry. Learners will gain an understanding of the importance of Data Quality and how to use Data Quality principles to manage the data in their organization. Topics covered include Data Quality Dimensions, Data Quality Rules, Profiling, Data Parsing, Data Standardization, Identity Resolution, Record Linkage, Data Cleansing, Data Enhancement, Data Quality Process, Data Quality Roles, Data Quality Tools, and Data Quality Best Practices. Participants will also enjoy lifetime access to the course and all future updates, as well as 6 hours of high quality, up to date video lectures.

Course Syllabus

Introduction

The Basics

6 Key Data Quality Dimensions

Data Quality Rules

Data Quality Techniques/Tools

Data Quality Roles

Data Quality Process

Data Quality Tools

Optional Section - Data Governance

Data Quality Best Practices

Optional Section - Example of a Data Quality Tool

What Next