ABUS 4028

About This Course

This is an introductory, overview course in data analytics and its core themes. Designed specifically for business professionals who are new to data analysis or who have never used Excel to parse and understand business data. This approachable, hands-on course offers guided, step-by-step instruction on using Microsoft Excel as a powerful tool for making informed, real-world decisions. You’ll explore the four key functions of data analytics—description, diagnosis, prediction, and prescription (what should we do next?) through engaging conversations, quizzes, reflective writing, and a phased, practical final project (instead of a final exam). This course is crafted to help you connect data to decisions in ways that support your work or personal goals, all without requiring any previous experience with analytics or Excel.

Instructor

Peter Hohenhaus
Peter Hohenhaus

JD, University of Chicago; MBA with an MIS focus, University of St. Thomas; BA, economics and political science, University of Minnesota

Mr. Hohenhaus has spent many years as an IT consultant, systems administrator, project manager, and business analyst in the Microsoft Stack and Google Workspace. Over the last 20 years, he has been an IT or finance systems consultant for data analytics, reporting, business intelligence, data marts, and data warehousing. He has spent 15 years working in costing, finance, pricing, and mergers in the railroad and telecommunications industries. Mr. Hohenhaus taught economics, statistics, and information systems at Grand View University in Des Moines. At St. Thomas, he taught applied managerial economics (costing, forecasting, and demand analysis) and end-user computing/information resource management in the evening MBA program.

  • ABUS 4028 – Introduction to Excel Analytics for Business Decision-Making

Information Subject to Change

Course details, syllabus, and instructor are subject to change. Current course details can be found by clicking on the Term link(s) above.