Business Analytics

Over the course of nine weekly modules, participants will gain a working knowledge of data science and will be able to apply analytics within their organizations to drive more successful business outcomes. Module 1: Leading with Analytics Learn why analytics is every manager’s problem. As analytics is a necessary part of business strategy, participants will use the Kellogg Analytics Framework–a process for developing analytics-driven business initiatives–to help achieve their business goals. Module 2: Exploratory Analytics with Visualization What makes one a good consumer of analytics? In this module, participants will explore how the human visual system works, how to see beyond simple patterns in data, and learn how to tell persuasive stories using visualization tools. Module 3: Distinguish Good from Bad Analytics What questions should one ask to help distinguish good analytics from bad analytics? This module will help participants make analytics-based decisions on real-causal relationships. Participants will learn to recognize analytics design flaws and identify errors in reasoning. Module 4: Causal Analytics Analyze the importance of experimentation platforms in driving growth and in analytics. Module 5: Causal Analytics in Action: The CPE Case Apply the concepts of the program to a real-world problem. Consider the two objectives of the case and analyze the best ways to achieve the objectives. Module 6: Predictive Analytics Gain an understanding of predictive analytics, how profitable it can be, and how it can enable business initiatives. Module 7: Linking Analytics with Actions  Learn how good decisions are the result of careful planning, anticipating the complexity of real-world optimization problems, and integrating domain expertise with analytics. Module 8: Machine Learning and Artificial Intelligence Understand the logic behind machine learning models and learn how these systems automatically uncover complex data relationships and offer predictions.