Data Quality Essentials: A Crash Course
Data Quality Essentials: A Crash Course, available at $19.99, has an average rating of 5, with 11 lectures, 1 quizzes, based on 4 reviews, and has 269 subscribers.
You will learn about 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 This course is ideal for individuals who are Individuals who have an interest in ensuring data is high quality It is particularly useful for Individuals who have an interest in ensuring data is high quality.
Enroll now: Data Quality Essentials: A Crash Course
Summary
Title: Data Quality Essentials: A Crash Course
Price: $19.99
Average Rating: 5
Number of Lectures: 11
Number of Quizzes: 1
Number of Published Lectures: 11
Number of Published Quizzes: 1
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- Individuals who have an interest in ensuring data is high quality
Target Audiences
- 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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: The 6 dimensions of quality
Chapter 2: Understanding our data
Lecture 1: What data do we have?
Lecture 2: Profiling our data for greater understanding
Lecture 3: Better understanding our data through analysis
Chapter 3: Resolving Quality Issues
Lecture 1: Data Pipelines
Lecture 2: Business Processes
Lecture 3: People & Cultural Changes
Chapter 4: Bringing it all together
Lecture 1: Making A Plan
Lecture 2: Some Example Tools
Lecture 3: Summary
Instructors
-
Kieran Keene
Data Engineer at Kodey
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 4 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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