Description

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.

Course Content

Introduction to Predictive Analytics

  • Analytics Lifecycle
  • Types of Analytics
  • Types of Models

Business Understanding/Problem Framing

  • Business Problem Framing
  • Types of Problems
  • Stakeholder Analysis

Data

  • Data Collection and Data Storage
  • Data Types
  • Data Understanding and Preparation

Modeling

  • The Classification Tree Algorithm
  • Other Classification Algorithms

Model Evaluation and Deployment

  • Model Performance Metrics
  • Evaluating Model Performance

Course Impact

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.

Personal Impact

  • Learn key concepts associated with a major technological revolution in modern society: the data revolution.

  • Think critically about jargon proliferating in the news, such as AI, machine learning, data science, predictive analytics, and more.

Organizational Impact

  • Evaluate data science proposals by spotting problems and asking the right questions.

  • Prevent resource wastage by identifying which business problems can and can’t be solved with analytics.

  • Evaluate the performance of models in terms of business objectives to make decisions about their deployment.

Course Logistics

100% online, led by instructor

On-demand access, 15 weeks to complete

5-6 hours of lecture, readings, and self-reflection

$375

Available on Demand

Available On-Demand

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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, block chain, and other tools to transform your digital space and strategy.

Course Faculty

Jeff Webb, MS Ph.D.

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.

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