Data Quality Fundamentals for Beginners

Data quality is a key business challenge of the 21st century.

What you'll learn
What is Data Quality?
Why data quality is important?
What are the important roles within Data Quality Management
What are the different Data Quality Management techniques

Requirements
Any previous experience with data will be helpful but not necessary.
Description
Hello there,

Data quality is a key business challenge of the 21st century. Quality has been an issue since the dawn of the IT profession and becomes increasingly challenging as the volumes of data increase and the uses for data expand. Regardless of your roles and responsibilities in IT - manager, developer, or technologist - you will at some time be challenged by data quality issues. And quality is an equal opportunity issue, imposing itself in every aspect from transaction systems to Web content and business intelligence

Why is data quality important?

Data quality matters because it significantly impacts your business performance. High-quality data helps you make better decisions and perform better actions, leading to increased revenue, decreased costs, and reduced risk. Low-quality data has the opposite effect, resulting in poor profitability and an increased risk that your business will fold prematurely.

At the end of the course, you'll be able to grasp an all-round understanding of below concepts

Data Quality

Data Strategy

Data Governance

Data Architecture

Data Lifecycle Management

Analytics and Data Science

Data Quality Objectives

6 Data Quality Dimensions and Examples

Roles and Responsibilities of Data Owners and Data Stewards

Data Quality Management Principles

Data Quality Management Process Cycle

Data Quality Issue Management

Data Cleansing

Outcome

Understand the various Data Quality areas

Explore Data Quality policies and procedures

Discuss data profiling, validation rules, facets, data cleansing, and more...

Understand how Data Quality is linked to other data disciplines

Thank you!

Who this course is for
Professionals that want to undertand what is Data Quality and how it can help their organization
Data Scientists
Management that wants to gain knowledge in the importance of Data Quality Management
Big Data Developers/Administrator

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