Data Quality: Core Concepts
With Mark Freeman
Liked by 75 users
Duration: 1h 28m
Skill level: Advanced
Released: 12/20/2024
Course details
This theoretical course is designed for data professionals, stakeholders at data organizations, data leadership, and professionals interested in data quality. Mark Freeman—a data engineer and tech lead—presents a high-level overview of data quality, a measure of how well data meets a company's expectations for accuracy, completeness, consistency, reliability, and validity. In addition to course content, complete a final project that involves a provided code repository to review and an analytics report with data quality issues. Identify data quality issues and make recommendations on how to fix them. This course equips you with a strong understanding of the concepts underpinning data quality.
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.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Ana Maria Chavez Sernaque
Ana Maria Chavez Sernaque
QA Data/Document Review Associate at American Regent, Inc.
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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