Data quality dimensions / fitness for use

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Reseñas

4.2 (55 calificaciones)

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    29,09 %
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MK

4 de nov. de 2019

What a great course!! Kudos to the professor for being so detail oriented!! I learned a great deal about the clinical data models from this course!!

VT

13 de sep. de 2019

Good instructor who took time to explain and walked through each steps of the ETL process. Highly recommended.

De la lección

Techniques: Data Quality Assessments

We explore the dimensions of data quality by reviewing its challenges, data quality measurements used to measure it, and data quality rules to assess its acceptability for use.

Impartido por:

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    Laura K. Wiley, PhD

    Assistant Professor

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    Michael G. Kahn, MD, PhD

    Professor of Clinical Informatics

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