Dark data is data in any form that could provide value to an organization or individual but is not doing so either by design or unintentionally. This Specialization will provide you with the foundational knowledge on how to work with Dark Data and will focus on strategies for deriving value from dark data.
Dark Data Migration and Architecture Specialization
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Dark Data Migration and Architecture Specialization
Harnessing Dark Data for Business Intelligence. Learn strategies for leveraging under-utilized data, filling in data voids, and deriving organizational value from Dark Data.
Instructor: Curtis Thompson
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Learners will gain foundational knowledge of Dark Data and develop skills to support them in basic problem-solving for Dark Data.
Learners will gain working knowledge on the ULEADD approach to extracting value from data.
Learners will gain next level thinking about value creation with Dark Data from a principled approach and demonstrate value creation skills.
Overview
Skills you'll gain
- Exploratory Data Analysis
- Data Governance
- Data Strategy
- Data Transformation
- Decision Making
- Computational Thinking
- Data Literacy
- Data Integration
- Data Analysis
- Data Quality
- Strategic Decision-Making
- Capacity Management
- Complex Problem Solving
- Engineering Management
- Data Access
- Data Warehousing
- Data Modeling
- Unstructured Data
- Data-Driven Decision-Making
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
11 practice exercises
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 Arizona State University
Specialization - 3 course series
What you'll learn
Learners will gain foundational knowledge of Dark Data and develop skills to support them in basic problem-solving for Dark Data.
Skills you'll gain
Category: Computational Thinking
Category: Data-Driven Decision-Making
Category: Unstructured Data
Category: Data Management
Category: Data Literacy
Category: Data Collection
Category: Data Analysis
Category: Data Integration
Category: Data Access
Category: Data Strategy
What you'll learn
Learners will gain working knowledge on the ULEADD approach to extracting value from data.
Skills you'll gain
Category: Project Scoping
Category: Needs Assessment
Category: Data-Driven Decision-Making
Category: Strategic Decision-Making
Category: Solution Design
Category: Organizational Effectiveness
Category: Unstructured Data
Category: Data Literacy
Category: Data Management
Category: Exploratory Data Analysis
Category: Complex Problem Solving
Category: Design Thinking
Category: Decision Making
Category: Data Strategy
Category: Process Improvement
Category: Data Analysis
What you'll learn
Learners will gain next level thinking about value creation with Dark Data from a principled approach and demonstrate value creation skills.
Skills you'll gain
Category: Data Transformation
Category: Capacity Management
Category: Business Intelligence
Category: Performance Metric
Category: Data Governance
Category: Management Reporting
Category: Data Quality
Category: Engineering Management
Category: Data Analysis
Category: Data Integration
Category: Data Literacy
Category: Data Strategy
Category: Data-Driven Decision-Making
Category: Data Management
Category: Data Modeling
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
There are 10 modules, spread across 3 courses. Each module is based on one chapter of the textbook. The specialization can be completed in approximately 4 months.
It is not necessary to take the courses in a specific order, but we recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Coursera courses and certificates don't carry university credit, though some universities may choose to accept them for credit.
More questions
Financial aid available,