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Introduction to Data Quality
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Explore the Basics of Data Quality
Data quality is a fundamental concept critical to understand if you work with data. Data quality concepts and processes span industries and can be applied by any person who produces or consumes data. This course covers the basics, including data quality dimensions, roles and responsibilities, and types of data quality rules. You’ll gain an understanding of the data quality process and be prepared to start monitoring your own data’s quality.Learn About Data Quality Dimensions
You’ll start by learning the definition of data quality and why it is so important to consider in business decision-making. Once you understand the importance, you will learn about six foundational data quality dimensions. You will use these dimensions to define detective and preventative data quality rules.You will also learn the basics of anomaly detection, a more advanced way to monitor data quality. You will put these concepts together by applying the data quality process. You will learn which role is responsible for specific data quality tasks and the order in which these tasks should be completed.
Master the Basics of Data Quality Management
By the end of this course, you will understand how to monitor, identify, and resolve data quality issues. You will look at your data through a more critical lens and think about potential data quality issues before using it. Ultimately, you will be able to make better decisions and have more trust in your data by applying the basic data quality techniques covered in this course.Prerequisites
There are no prerequisites for this courseDefining Data Quality Terms
Data Quality Processes and Components
Data Quality Rules In Action
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Enroll NowFAQs
Is this course suitable for beginners?
Yes! This course is suitable for beginners to data quality. It covers the basics, including data quality dimensions, roles and responsibilities, and types of data quality rules.
Who will benefit from this course?
This course can benefit anyone working with data, such as data analysts, data engineers, business analysts, and data scientists.
Is there a certificate at the end of the course?
Yes, you will receive a course completion certificate upon finishing this course.
What is the data quality process?
The data quality process involves monitoring, identifying, and resolving data quality issues, as well as using data profiles to define data quality rules for each data quality dimension.
What data quality dimensions will I learn about?
You will learn about six foundational data quality dimensions, including accuracy, completeness, consistency, validity, timeliness, and uniqueness.
What data quality rules will I learn about?
You will learn about several types of data quality rules, including field format rules, field length rules, and value range rules.
What will I be able to do after completing this course?
After completing this course, you will be prepared to monitor, identify, and resolve data quality issues. You will also be able to understand data quality roles and responsibilities, plan and apply data quality rules, and make better decisions with data by applying the techniques you learned.
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