Data Quality Essentials: A Crash Course

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
Requirements
None
Description
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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