Partner with learners from Hamline University’s Intro to Business Analytics course to uncover patterns, identify opportunities, and support data-informed decision-making for your organization.

Learners in this course will:

• Interpret and Communicate Data: With clear and concise data storytelling, learners will use Excel to translate complex data into actionable insights.
• Acquire, Clean, and Prepare Data: Students will import, clean, and transform raw datasets (handling missing values, fixing inconsistencies, organizing your data) into formats ready for meaningful analysis.
• Apply Descriptive Analytics: Using statistical techniques, learners will calculate key metrics, and analyze trends and patterns.
• Support Decision-Making with Insights: Learners will use quantitative reasoning and introductory predictive analytics to interpret results and make informed recommendations. They'll help you evaluate assumptions, draw conclusions from data, and understand the scope and limitations of those insights.
• Collaborate Effectively and Professionally: Students are introduced to version control and best practices for team-based collaboration. They’ll work iteratively on projects, provide regular updates, and communicate clearly to ensure alignment.

By engaging with our learners, your organization gains access to practical, data-literate talent who can bring fresh perspectives and analytical support to your work. You’ll also have the opportunity to mentor emerging business analysts and contribute to their professional growth.

At the end of this collaboration, you’ll receive:

• A final report outlining key findings, methods, and data-driven recommendations
• A final presentation where students showcase their work