Donna L. Haeger is a Professor of Practice in the Charles H. Dyson School of Applied Economics and Management at Cornell University. She teaches introductory and advanced spreadsheet modeling courses for applied decision making. These courses leverage Microsoft Excel as a business analytics tool. Prior to teaching at Cornell, Dr. Haeger taught courses in management theory, organizational behavior, and marketing. With over 20 years in industry, her corporate experience includes work in investments, banking, and corporate finance. Dr. Haeger is the business analytics concentration coordinator and chaired the task force responsible for launching the concentration. Her research interests are at the intersection of organizational behavior and digitization. Dr. Haeger explores technology in the workplace, leadership, teams, and management. Her contributions relate to influence and intergenerational exchanges in an effort to blend human systems. Dr. Haeger presents her research at the Academy of Management and other leadership associations. She also enjoys mentoring students interested in undergraduate research, especially when the products serve to better communities. Dr. Haeger currently sits on the board of directors for Consumer Credit Counseling Services of Rochester, which specializes in spreading financial literacy to communities.
Pre‑College Analytics and Spreadsheet ModelingCornell Course
Course Overview
In today’s accelerated digital age, data runs the world. Indeed, data analytics is one of today’s most rapidly growing careers — and a skill that can give you an edge in nearly any field you choose to enter.
In this program, you will learn effective methods to analyze data to make better, more informed decisions. Working with Excel as your go-to tool, you will master real-world spreadsheet modeling concepts, examine data cleaning methods to improve accuracy, and explore ways to manage data using Excel’s functionality to its full potential. You will get a chance to visualize your data into compelling charts and dashboards to communicate your findings and make simulated predictions based on what the data reveals. Whether you’re managing the school charity drive or doing an internship, this program will help you develop the kind of invaluable skill set that will help you stand apart and contribute meaningfully to any group or team.
The 4-week program includes the opportunity to join live sessions with Professor Haegar to learn more about how to apply key principles to solve everyday problems. Live sessions will be held throughout the program on Monday’s from 1pm – 2pm ET. Throughout this program you will also receive feedback on your discussions and projects. from your course facilitator.
By participating in the beta running of this program, you are also helping support a talented High School student from an under-resourced community. Through a partnership with National Education Equity Lab, each purchase makes it possible for more students from communities hit hardest by COVID-19 to have access to this educational opportunity.
Key Course Takeaways
- Apply data analytics concepts to decision-making and school activities
- Analyze data using Excel
- Master data visualization techniques to effectively tell a story with data
- Make predictions and forecasts using data sets
How It Works
Effort
Format
Course Author
Who Should Enroll
- College-bound teens
- Student entering Grades 10-12
- Students must be at least 16 years of age