Data Quality Fundamentals for Beginners

4.6

Learners: 1,095

Instructor: Nazim Cherpanov | Programming CoursesEmil Mamedov

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This course is perfect for beginners looking to gain an understanding of data quality fundamentals. It covers topics such as data strategy, data governance, data architecture, data lifecycle management, analytics and data science, data quality objectives, and data quality dimensions and examples. Learners will also learn about data quality policies and procedures, data profiling, validation rules, facets, data cleansing, and more. Additionally, learners will gain an understanding of how data quality is linked to other data disciplines. By the end of the course, learners will have a comprehensive understanding of data quality and its importance in business performance. Sign up now to learn the fundamentals of data quality and how it can help your business succeed. ▼▲