Data Quality: Measure, Improve, and Enforce Reliable Systems
With Smriti Mishra
Liked by 7 users
Duration: 46m
Skill level: Intermediate
Released: 10/14/2025
Course details
Data quality is the foundation of reliable analytics, trustworthy dashboards, and effective machine learning. In this course, instructor Smriti Mishra explores the core concepts of data quality and shows you how to apply best practices to improve outcomes across the data lifecycle. From understanding quality dimensions to building validation checks in Python and integrating them into data pipelines, this course equips you with practical tools for managing data quality more effectively in real-world environments. Along the way, Smriti highlights how poor-quality data can undermine AI models, distort business intelligence, and compromise strategic decision-making. This course is designed for data professionals who want to create more trustworthy, efficient, high-performing data systems.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.