University of Michigan
Total Data Quality Specialization
University of Michigan

Total Data Quality Specialization

Taught in English

Some content may not be translated

Trent D Buskirk
Brady T. West
James Wagner

Instructors: Trent D Buskirk

Included with Coursera Plus

Specialization - 3 course series

Get in-depth knowledge of a subject

4.5

(14 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

Shareable certificate

Add to your LinkedIn profile

Specialization - 3 course series

Get in-depth knowledge of a subject

4.5

(14 reviews)

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

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

The Total Data Quality Framework

Course 111 hours4.5 (14 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 Courses2,438 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions