Data Quality: Core Concepts
Data Quality: Core Concepts
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 28m | 172 MB
Instructor: Mark Freeman
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 28m | 172 MB
Instructor: Mark Freeman
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.
Data Quality: Core Concepts
