Arizona State University
Extracting Value from Dark Data: ULEADD
Arizona State University

Extracting Value from Dark Data: ULEADD

This course is part of Dark Data Migration and Architecture Specialization

Taught in English

Curtis Thompson

Instructor: Curtis Thompson

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

6 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Learners will gain working knowledge on the ULEADD approach to extracting value from data.

Details to know

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Recently updated!

November 2023

Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

6 hours (approximately)
Flexible schedule
Learn at your own pace

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

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Build your subject-matter expertise

This course is part of the Dark Data Migration and Architecture Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

Welcome to Extracting Value from Dark Data: ULEADD. We are excited you are here and hope you finish this course with working knowledge of the ULEADD approach to extracting value from data. Though this course focuses on using ULEADD with dark data, you will likely find that this approach is helpful in many project and data scenarios.

What's included

2 videos3 readings

One of the challenges of dealing with dark data is based on how we think about what we know. We believe that we know what we know. We believe we know what we don’t know. We believe we know things that are actually unknown to us. We may not realize that there are things that are completely unknown to us. To be competitive, we need to rapidly learn the unknown and find a way to create value from it. ULEADD (Understand, Learn, Evaluate, Assess, Define, Design) is a way to improve decision-making, reduce failure, and structure discussions in a productive, team-based environment. ULEADD is a framework for discovery that provides a structure to identify and extract value from data that is typically hidden from sight.

What's included

11 videos3 readings1 quiz

The evaluate and assess steps in ULEADD set the stage for everything you do when you approach dark data. You will be better positioned for success by understanding what you know and don’t know, what you need to move forward, and methodologies that will support your work.

What's included

9 videos3 readings1 quiz

The define and design steps in ULEADD are where you document what needs to be done and begin to plan your solution. These key steps act as your blueprint forward, ensuring that you have a complete picture and plan before beginning any data work.

What's included

7 videos3 readings1 quiz

Instructor

Curtis Thompson
Arizona State University
3 Courses170 learners

Offered by

Recommended if you're interested in Data Analysis

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