At Hamline University, students in the Introduction to Business Analytics course are developing practical data analysis and storytelling skills to prepare for careers in data science and business intelligence. Learners work with real-world datasets to clean, analyze, and derive actionable insights using Excel.

Employers participating in this experience will engage directly with students, offering guidance, sharing project-specific resources, and providing feedback. Active collaboration is key, including regular check-ins, supporting student inquiries, attending final presentations, and delivering constructive evaluations—all facilitated through the Riipen platform.

Expected project outcomes, including:

• Data wrangling and cleaning
• Probability and Statistical Inference
• Descriptive Statistics
• Data Visualizations
• Linear Regression and/or Time Series/Forecasting Analysis

Employers will receive comprehensive deliverables showcasing the learners' abilities, including:

• A professional Word report detailing background information, main project questions, data preparation/cleaning, analysis strategies, key findings/insights/recommendations and visualizations.
• A final Excel file containing cleaned, analyzed, and well-documented data.