Machine Learning Leadership and Practice – End-to-End Mastery
Business Knowledge Series course
Presented by Eric Siegel, Ph.D., founder of Predictive Analytics World, author of Predictive Analytics, and former Columbia University professor.
Machine learning is booming. It reinvents industries and runs the world. According to Harvard Business Review, machine learning – also known as predictive analytics – is “the most important general-purpose technology of our era.”
But while there are so many how-to courses for hands-on techies, there are practically none that also serve the business leadership of machine learning. This is a striking omission since success with machine learning relies on a very particular project leadership practice just as much as it relies on adept number crunching. Without that leadership, most machine learning projects fail.
By filling that gap, this course empowers you to generate value with machine learning, whether you are a techie, a business leader, or some combination of the two. It delivers the end-to-end expertise that you need, covering both the core technology and the business-side practice.
Why cover both sides? Because both sides need to learn both sides! Everyone leading or participating in the deployment of machine learning must study them both.
Beyond the core tech. As with most machine learning courses, you'll learn how the technical methods work “under the hood” – in an accessible way that's understandable to all learners. But you'll also continue beyond that to master critical business-side best practices that are usually omitted. Learn how to
Who should attendAnyone who wants to participate in the value-driven use of machine learning, no matter whether you will do so in the role of enterprise leader or quant. Since there is no hands-on and no heavy math (other than one spreadsheet-based exercise, as well as optional hands-on opportunities with SAS software), this program serves business professionals and decision makers of all kinds, such as executives, directors, line of business managers, and consultants. But technical learners should take another look. Before jumping straight into the hands-on, as data scientists are inclined to do, consider one thing: This holistic curriculum provides complementary know-how that all great techies also need to master. It contextualizes the core technology, guiding you on the end-to-end process required to successfully deploy a predictive model so that it delivers a business impact. This course is also a good fit for university students, including those enrolled in an MBA program.
This curriculum is fully accessible to all types of learners on both the business and technical side, including non-technical business managers and newcomers, although it is delivered at a level that assumes a college degree or higher.
This course addresses SAS Viya software.
This course is actually three (3) courses in one. When you enroll, you'll be given access to the entire three-course series – also referred to, overall, as a specialization.
Course Series Overview
Business Applications of Machine Learning
The Foundational Underpinnings of Machine Learning