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:
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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.
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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.
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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.
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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.
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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
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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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