Data Quality Essentials: A Crash Course
Kieran Keene
1:00:06
Description
Step into data quality management!
What You'll Learn?
- Essentials of data quality
- Processes, technical changes & organisational changes related to data quality
- How to identify data quality issues
- How to monitor data quality issues
Who is this for?
What You Need to Know?
More details
DescriptionThis course is designed to equip participants with the knowledge and tools necessary to understand, evaluate, and enhance the quality of data within organisational contexts. In today's data-driven world, the significance of reliable, accurate, and high-quality data cannot be overstated.
The course is not designed to make you an expert but rather to give you a good grounding in data quality, it's importance and to give you some actionable steps to take after the course.
Throughout this course, participants will delve into the fundamental concepts of data quality, exploring its definition and significance in various operational and analytical contexts.
Participants will learn practical methodologies and tools for assessing data quality within their organisations and then delve into strategies for enhancing data quality, covering both process-oriented changes and organisational shifts necessary to establish a culture of data quality improvement.
We'll look at utilising data pipelines to improve and monitor data quality.
No previous experience is required. By the end of this course you should have a good understanding of some of the steps we can take to improve and monitor data quality.
Join me on this exciting journey towards mastering data quality management and unleash the potential of your data assets.
Who this course is for:
- Individuals who have an interest in ensuring data is high quality
This course is designed to equip participants with the knowledge and tools necessary to understand, evaluate, and enhance the quality of data within organisational contexts. In today's data-driven world, the significance of reliable, accurate, and high-quality data cannot be overstated.
The course is not designed to make you an expert but rather to give you a good grounding in data quality, it's importance and to give you some actionable steps to take after the course.
Throughout this course, participants will delve into the fundamental concepts of data quality, exploring its definition and significance in various operational and analytical contexts.
Participants will learn practical methodologies and tools for assessing data quality within their organisations and then delve into strategies for enhancing data quality, covering both process-oriented changes and organisational shifts necessary to establish a culture of data quality improvement.
We'll look at utilising data pipelines to improve and monitor data quality.
No previous experience is required. By the end of this course you should have a good understanding of some of the steps we can take to improve and monitor data quality.
Join me on this exciting journey towards mastering data quality management and unleash the potential of your data assets.
Who this course is for:
- Individuals who have an interest in ensuring data is high quality
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Kieran Keene
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 10
- duration 1:00:06
- English subtitles has
- Release Date 2024/02/10
