Data Literacy Essentials: Ethics in Augmented Analytics

What you'll learn

The ability to manage and understand data has been an increasingly important skill that is vital to any organization in the present times. However, data nowadays has been increasingly becoming complex, difficult to understand, and subject to risk and bias. In this course, Data Literacy Essentials: Ethics in Augmented Analytics, you’ll learn how to ensure ethical implementation of augmented analytics in your organization.

First, you’ll explore what ethics in augmented analytics is, its relevance, and the key areas to address for a proactive approach in ensuring ethical implementation. Next, you’ll discover data bias, its different types, and corresponding mitigation strategies. Finally, you’ll learn how to understand the concept of Explainable AI, its relevance, considerations to drive desirable outcomes with it, as well as the primary concerns that drive the need for Explainable AI. When you’re finished with this course, you’ll have the skills and knowledge that will help you ensure ethical implementation of augmented analytics in your organization.

Table of contents