University of Michigan
Total Data Quality Specialization
University of Michigan

Total Data Quality Specialization

Taught in English

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Trent D Buskirk
Brady T. West
James Wagner

Instructors: Trent D Buskirk

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.5

(12 reviews)

Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore the Total Data Quality framework.

  • Learn how to integrate data quality assessments as a critical component in all your projects.

  • Understand on the initial steps of data science, emphasizing data collection, data source evaluation, and techniques for ensuring high-quality data.

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.5

(12 reviews)

Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Learn at your own pace

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  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan
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Specialization - 3 course series

The Total Data Quality Framework

Course 111 hours4.5 (13 ratings)

What you'll learn

  • Identify the essential differences between designed and gathered data.

  • Summarize the key dimensions of the Total Data Quality (TDQ) Framework.

  • Describe why data analysis defines an important dimension of the Total Data Quality framework.

  • Define the three measurement dimensions of the Total Data Quality framework.

Skills you'll gain

Category: Data Analysis
Category: Total Data Quality Framework
Category: Data Classification

What you'll learn

  • Learn metrics for evaluating Total Data Quality.

  • Create a quality concept map of TDQ from a particular application or data source.

  • Identify relevant software and related tools for computing the various metrics.

Skills you'll gain

Category: Total Data Quality Framework
Category: Data Classification
Category: Data Computation Software

What you'll learn

  • Learn about design tools and techniques for maximizing TDQ.

  • Identify aspects of the data generating/gathering process that impact TDQ.

  • Understand TDQ maximization strategies that can be applied when gathering designed and found/organic data.

Skills you'll gain

Category: Data Analysis
Category: Total Data Quality Framework
Category: Data Classification

Instructors

Trent D Buskirk
University of Michigan
3 Courses2,339 learners

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