A comprehensive guide to machine learning leadership and launch. The program covers the most advanced techniques and essential business practices, and is designed for both business-level learners and technology experts.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Machine learning is transforming industries and driving the world. Harvard Business Review describes it as “the most important technology of our time.”
While there are plenty of hands-on courses for technologists, there are almost no courses designed for business leaders in machine learning – this omission is notable, as success in machine learning depends not only on technical understanding, but also on unique project management practices.
By filling this gap, this course empowers you to extract value from machine learning. It provides the comprehensive expertise you need, including the core technology and the business side.
This specialization is designed for both business leaders and data scientists taking their first steps, providing comprehensive and comprehensive coverage.
But technical learners should reconsider. Before jumping straight into the practical work, as most “quants” do, it’s worth considering one thing: the curriculum provides complementary knowledge that every amazing technologist should acquire.
Problem-solving challenges: preparing a unique proposition, building a predictive model manually in Excel or Google Sheets to illustrate how it improves, and more (there will be no exercises involving the use of machine learning software).
This specialization includes several software demonstrations that demonstrate machine learning in action using SAS products. However, the curriculum is neutral and universal. The knowledge gained applies regardless of the machine learning software you choose to work with.
The course is presented by an experienced industry leader who won teaching awards when he was a professor at Columbia University, and this specialization is considered one of the most in-depth, engaging, and accessible in the context of machine learning.
These three courses are also suitable for college students, or those planning or already enrolled in an MBA program. The breadth and depth of this specialization is comparable to a full semester MBA course or an advanced degree course.
