Extracting Value from Dark Data: ULEADD
Master the ULEADD framework (Understand, Learn, Evaluate, Assess, Define, Design) to discover and extract value from hidden organizational data.
Master the ULEADD framework (Understand, Learn, Evaluate, Assess, Define, Design) to discover and extract value from hidden organizational data.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Dark Data Migration and Architecture Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Apply the ULEADD framework to dark data projects
Evaluate and assess data opportunities
Develop structured investigation approaches
Design data-driven solutions
Implement impact-centered design principles
Skills you'll gain
This course includes:
3.32 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course introduces the ULEADD framework for discovering and extracting value from dark data. Students learn systematic approaches to evaluate unknown data opportunities, assess organizational needs, and design effective solutions. The curriculum emphasizes practical application through structured decision-making processes.
Course Introduction
Module 1 · 21 Minutes to complete
Introduction to ULEADD
Module 2 · 2 Hours to complete
EVALUATE and ASSESS and the Path Forward
Module 3 · 2 Hours to complete
ULEADD: Design for the Unknown
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Expert in Dark Data and Analytics at Arizona State University
Curtis Thompson is an accomplished instructor at Arizona State University, specializing in the emerging field of Dark Data and its applications in business intelligence. He teaches a series of online courses on Coursera, including the "Dark Data Migration and Architecture" specialization, where he guides students through strategies for leveraging under-utilized data to create organizational value. With a strong foundation in engineering and analytics, Curtis focuses on helping learners understand the complexities of Dark Data, emphasizing problem-solving skills and innovative approaches to data management. His expertise not only enhances academic knowledge but also prepares students for real-world challenges in data analysis and application. Through his work, Curtis Thompson plays a pivotal role in advancing the understanding of how organizations can harness hidden data to drive decision-making and improve operational efficiency.
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Frequently asked questions
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