Foundational Skills for Business Analysis builds business analysis skills using Excel, covering data construction, manipulation, summarization, analysis, and presentation.
This online asynchronous course is graded pass/fail, requiring students to achieve 80% on four sections of retakeable quizzes. Students reported spending about an hour per week and found the Excel videos more useful than the readings for mastering basic functions.
Intermediate Data Analysis for Business emphasizes predictive and prescriptive analytics, using historical data to forecast outcomes and formulate optimal decision models.
Recent recorded grades — Spring 2024: 3.28 GPA, 61.0% A/AB (n=41 letter grades); Spring 2025: 3.26 GPA, 60.0% A/AB (n=35 letter grades); Spring 2026: 3.58 GPA, 72.2% A/AB (n=36 letter grades).
Business Analytics II focuses on predictive and prescriptive analytics, using historical data for forecasting and decision models to identify optimal managerial actions.
Michael Hernke taught this class with a mix of positive and critical feedback. Students found him patient and accommodating, with one noting he reached out for exam extensions, while another described his lectures as dull and boring. Reviewers noted his teaching style was engaging and he was very helpful during practice days.