Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Assessing Data Quality - The 3 Facets of Data Fitness

Open Data Science via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the critical aspects of data quality assessment in this informative talk by renowned data science expert Susan McGregor. Delve into the three crucial facets of data "fitness" to ensure your data is suitable for its intended purpose. Learn how to identify gaps and errors, unlock the true potential of your data, and gain invaluable insights for data science professionals. Discover techniques for remediating a lack of data fitness and understand the key axes of data quality. Unravel the complexities of data integrity problems and empower yourself to harness the full potential of your data to answer pressing questions in your field.

Syllabus

- Introductions
- Key Axes of Data Quality
- What is Data “Fitness”
- Data Fitness: Validity
- Data Fitness: Reliability
- Data Fitness: Representativeness
- Remediating a lack of Data Fitness
- Conclusion

Taught by

Open Data Science

Reviews

Start your review of Assessing Data Quality - The 3 Facets of Data Fitness

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.