Data Quality Management : A Primer

Data Quality Management : A Primer, available at $44.99, has an average rating of 5, with 35 lectures, 3 quizzes, based on 1 reviews, and has 6 subscribers.

You will learn about Understand fundamentals of Data Quality Management Importance of Data Quality and impact on businesses Real Examples : Highlighting cost of poor quality data Develop skills to measure, monitor, communicate, and manage Data Quality effectively Gain knowledge on data profiling, cleansing, and using a Data Quality Scorecard Talk with confidence when it comes to Data Quality Management This course is ideal for individuals who are Data Pipeline Developers or Data Pipeline Testers or Business Analysts or Data Project/Product Managers or Anyone interested to learn about Data Quality Management It is particularly useful for Data Pipeline Developers or Data Pipeline Testers or Business Analysts or Data Project/Product Managers or Anyone interested to learn about Data Quality Management.

Enroll now: Data Quality Management : A Primer

Summary

Title: Data Quality Management : A Primer

Price: $44.99

Average Rating: 5

Number of Lectures: 35

Number of Quizzes: 3

Number of Published Lectures: 35

Number of Published Quizzes: 3

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand fundamentals of Data Quality Management
Importance of Data Quality and impact on businesses
Real Examples : Highlighting cost of poor quality data
Develop skills to measure, monitor, communicate, and manage Data Quality effectively
Gain knowledge on data profiling, cleansing, and using a Data Quality Scorecard
Talk with confidence when it comes to Data Quality Management

Who Should Attend

Data Pipeline Developers
Data Pipeline Testers
Business Analysts
Data Project/Product Managers
Anyone interested to learn about Data Quality Management

Target Audiences

Data Pipeline Developers
Data Pipeline Testers
Business Analysts
Data Project/Product Managers
Anyone interested to learn about Data Quality Management

“Data Quality Management: A Primer” is your essential guide to the principles and practices of effective Data Quality Management. Designed for beginners, this course provides a comprehensive introduction to the key concepts and strategies needed to ensure high Data Quality.

In this course, we’ll explore:

Understanding Data Quality & Measurement Dimensions: Delve into the fundamental dimensions of Data Quality such as accuracy, completeness, consistency, and timeliness. Learn how to evaluate and improve Data Quality in various contexts.
Implementing Effective Data Quality Processes: Understand processes for data profiling, cleansing, validation, and monitoring. Learn how to establish and maintain processes that ensure data remains reliable and valuable.
Utilizing the Data Quality Scorecard: Understand how to use a Data Quality Scorecard to provide a clear snapshot of data quality, track progress, and identify areas needing improvement. Learn the importance of Data Quality and the significant cost implications of poor data quality on organizational performance.
Exploring the Impact of Data Quality on Business Decisions: Examine how high-quality data supports better decision-making and operational efficiency, and understand the broader impact of data quality on business success. We will also go through real examples highlighting the cost of poor data quality.
Recognizing Common Data Quality Challenges: Identify common pitfalls and challenges in data quality management and more.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Who is this course for?

Lecture 2: Prerequisite for taking up this course

Lecture 3: Course Structure

Chapter 2: Introduction to Data Management & Data Quality Management

Lecture 1: Data Management – Big Picture

Lecture 2: What is Data Quality Management?

Lecture 3: What is Data Quality?

Lecture 4: Importance of Data Quality

Lecture 5: Cost of Poor Data Quality : Real Examples

Lecture 6: Summary

Chapter 3: Data Quality Measurement Dimensions

Lecture 1: What is Data Quality Measurement Dimensions?

Lecture 2: Accuracy

Lecture 3: Completeness

Lecture 4: Consistency

Lecture 5: Timeliness

Lecture 6: Validity

Lecture 7: Uniqueness

Lecture 8: Summary

Chapter 4: Data Quality Scorecard

Lecture 1: Introduction to Data Quality Scorecard

Lecture 2: Structure of Scorecard

Lecture 3: Best Practices

Lecture 4: Summary

Chapter 5: Data Quality Management Functions

Lecture 1: Introduction

Lecture 2: Data Profiling Introduction

Lecture 3: Data Profiling Process

Lecture 4: Data Quality Monitoring & Testing

Lecture 5: Data Cleansing

Lecture 6: Data Standardisation

Lecture 7: Root Cause Analysis

Lecture 8: Change Management

Lecture 9: Data Stewardship

Lecture 10: Summary

Chapter 6: Data Quality Tools and Mistakes to Avoid

Lecture 1: Common Mistakes : Data Quality Management

Lecture 2: Data Quality Tools

Lecture 3: Data Quality Tools : Example

Chapter 7: Wrap up

Lecture 1: Thank you

Instructors

North (CJ) Star
Software & Data Architect

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5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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