This course will help you learn the vocabulary and concepts necessary to understand- and use- Dark Data to create value for your organization.
Overview
Syllabus
- Course Introduction
- Welcome to Dark Data Basics, Understanding the Unknown. We are excited you are here and hope you leave this course with an understanding of dark data and managing the unknown. This course will help you learn the vocabulary and concepts necessary to understand—and use—dark data to create value for your organization.
- Module 1: Introduction to Dark Data
- In order to deeply understand and use dark data, you need to know foundational concepts. In this module, you will learn basics related to dark data, including vocabulary, concepts, and ideas.
- Module 2: Dark Data Classifications: Internal Dark Data
- Internal dark data is data you have (or could have) access to within your organization. In this module, you’ll learn to classify dark data and understand where data is held.
- Module 3: Dark Data Classifications, External Data
- Not all data is within your reach or available to you. Sometimes, you will need data that is not part of your organization, may not be clearly or easily obtained, or may need to use strategies to figure out the next steps before analysis. In this module, you will learn about external dark data and the steps to take.
- Module 4: Thinking for the Unknown: Computational Thinking
- Working with dark data requires specific ways of thinking. In this module, you will learn about computational thinking and how it leads to value when you work with dark data.
Taught by
Curtis Thompson
