Getting Started with Augmented Analytics
Augmented analytics is one of the major trends transforming modern data analytics to extract business value at scale. This course will teach you everything you need to know to kick start your journey in the augmented analytics era.
What you'll learn
In the modern era, data is the most valuable asset for any organization. However, extracting value from the data asset is still cumbersome, manual and limited. Augmented analytics is transforming the process of value extraction by providing powerful tools to analytics and business users leveraging AI and machine learning under the hood. In this course, Getting Started with Augmented Analytics, you’ll learn to use the power of Augmented Analytics to extract value for your organization, at scale. First, you’ll explore the Augmented Analytics spectrum and how it is redefining the analytics workflows. Next, you’ll discover the building blocks powering Augmented analytics and key players offering these solutions. Finally, you’ll learn how to adopt augmented analytics in your organization. When you’re finished with this course, you’ll have the skills and knowledge of Augmented Analytics needed to adopt, implement, and drive the value creation at scale using data.
Table of contents
About the author
Abhishek Kumar is a data science consultant, author, and Google Developers Expert (GDE) in machine learning. He holds a master’s degree from the University of California, Berkeley, and has been featured in the "Top 40 under 40 Data Scientist" list. He is also a public speaker and has delivered talks in top data conferences across the globe including Strata Data, AI conference, ODSC, and Fifth Elephant. His focus area is machine learning and deep learning at scale and is also a recipient of the... more