Data Literacy Essentials: Augmented Analytics Best Practices

This course will teach you some of the best practices to effectively implement augmented analytics initiatives in your organization.

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 and difficult to understand and subject to risk and bias. In this course, Data Literacy Essentials: Augmented Analytics Best Practices, 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.

• Course Overview 1min
• Best Practices for Implementing Augmented Analytics 34mins
• Understanding Scaling Investments for Augmented Analytics 19mins
• Evaluating the Benefits of Moving to Cloud 20mins
• Understanding Organizational Data Literacy Needs 36mins
• Evaluating Data Access 26mins