PREDICTIVE ANALYTICS
ONLINE
PREDICTIVE ANALYTICS Predictive analytics is the art and science of using historical data to forecast the future. This course will demystify the topic for executives—or future executives—who work directly with data themselves or manage those who do. Learners will work through several detailed case studies with optional code demos. No prior knowledge is required.
Topics Covered •
Business use cases for predictive analytics
•
Data preparation for modeling
•
The analytics lifecycle
•
Model evaluation and deployment
•
Types of predictive tasks and algorithms
Certificate Program This course is a part of the Digital Transformation Certificate. This online certificate is designed to challenge you and help you grow as a leader and individual. Understand how you can use digital marketing, information systems, blockchain, and other tools to transform your digital space and strategy.
I Need This Program Because:
My Organization Needs This Program Because:
•
•
We want to evaluate data science proposals by spotting problems and asking the right questions.
•
We want to prevent resource wastage by identifying which business problems can and can’t be solved with analytics.
•
We want to evaluate the performance of models in terms of business objectives to make decisions about their deployment.
•
I want to learn key concepts associated with a major technological revolution in modern society: the data revolution. I want to think critically about jargon proliferating in the news, such as AI, machine learning, data science, predictive analytics, and more.
Who Needs This Class? Executives and managers that oversee data projects or work directly with data will benefit greatly from this course. Opportunities to observe the details of an analytics project through code demos will meet the needs of those seeking to understand the big picture of predictive analytics and gain first-hand experience.
Modules Module 1: Introduction to Predictive Analytics • Analytics lifecycle • Types of analytics • Types of models Module 2: Business Understanding/Problem Framing • Business problem framing • Types of problems • Stakeholder analysis
Module 4: Modeling • The classification tree algorithm • Other classification algorithms Module 5: Model Evaluation and Deployment • Model performance metrics • Evaluating model performance
Module 3: Data • Data collection and data storage • Data types • Data understanding and preparation
100% online, led by instructor
On-demand access, 12 weeks to complete
5-6 hrs. of lecture, readings, and self-reflection
Presenting Faculty | Jeff Webb Jeff Webb is an Associate Professor (Lecturer) at the University of Utah and the Academic Director of the Masters in Business Analytics Program at the David Eccles School of Business. He has spent over 20 years working in higher education in Utah and abroad as both instructor and administrator. In 2019, Jeff was awarded the Student Choice Teaching Award at the David Eccles School of Business and in 2021 received the Brady Faculty Superior Teaching Award. Throughout his career, Jeff has published research on the impact of educational programs on student outcomes, using the same analysis and modeling strategies that he teaches to the students at the David Eccles School of Business.
THE ECCLES DIFFERENCE The David Eccles School of Business enrolls about 6,000 students in its eight undergraduate majors, four MBAs, seven other specialized graduate programs, one Ph.D. program, and executive education curricula. It is also home to seven institutes and centers that support an ecosystem of entrepreneurship, technology, and innovation, including the Lassonde Entrepreneur Institute, Ken C. Gardner Policy Institute, Sorenson Impact Center, and more. Our faculty members boast impressive professional and educational backgrounds and hold Ph.D.s from esteemed universities including the University of Pennsylvania’s Wharton School, Northwestern University’s Kellogg School, Harvard Business School, Stanford Graduate School of Business, and University of California at Berkeley’s Haas School.
TAKE THE NEXT STEP Telephone: (801) 587-7273 Email: ExecEd@Utah.edu Website: ExecEd.Utah.Edu Registration: Eccles.Secure.Force.com/ExecEdApplication 1731 E Campus Center Drive Robert H. and Katharine B. Garff Building, GARFF 4340 Salt Lake City, Utah 84112
042522