Dark Data Basics - Understanding the Unknown
Learn to identify, classify, and extract value from hidden organizational data through systematic approaches to dark data management and analysis.
Learn to identify, classify, and extract value from hidden organizational data through systematic approaches to dark data management and analysis.
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
Understand dark data fundamentals and key concepts
Classify different types of dark data sources
Identify opportunities for dark data value creation
Apply computational thinking to dark data challenges
Develop strategies for dark data discovery and management
Skills you'll gain
This course includes:
3.63 Hours PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces learners to the fundamentals of dark data and its management. The curriculum covers key concepts including data classification, internal and external dark data sources, and computational thinking approaches. Students learn to identify different types of dark data, understand their organizational impact, and develop strategies for data discovery and value creation. The course emphasizes practical problem-solving skills and strategic thinking for managing unknown data assets.
Course Introduction
Module 1 · 23 Minutes to complete
Introduction to Dark Data
Module 2 · 3 Hours to complete
Dark Data Classifications: Internal Dark Data
Module 3 · 2 Hours to complete
Dark Data Classifications, External Data
Module 4 · 2 Hours to complete
Thinking for the Unknown: Computational Thinking
Module 5 · 3 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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