Leading With Data and Analytics
Booth School of Business
How long?
- 6 weeks
- online
What are the topics?
Booth School of Business
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Who should attend
This program is designed for busy leaders—managers, directors, VPs, and C-suite—with the drive and desire to solve their organization’s critical business challenges. This short, focused program allows you to develop solutions for both near- and long-term challenges—without disrupting your day-to-day responsibilities. Job titles include senior leaders, mid-level & team leaders, project managers, and directors.
About the course
Learn how to improve business outcomes by leveraging analytics to make evidence-based decisions.
As the volume of available business data expands, the winners in tomorrow’s marketplace will be those who can generate insight from information. Yet, many leaders feel daunted by the sheer amount of data out there. Many others make the critical mistake of looking for patterns in the data they have, instead of framing productive questions to shape the data they need. Competency in this area is so lacking, a recent Gartner study predicted that by 2020, 80% of organizations will initiate deliberate development programs in data literacy.
Many of the ideas, methods and principles that describe the best business data and analytics practices were pioneered by faculty at the University of Chicago Booth School of Business. In this six-week program, participants learn how to “think data” the Booth way. They develop the critical and creative reasoning skills needed to frame a data analytics project, collaborate with data specialists, and ultimately make evidenced-based decisions that drive results — without sacrificing speed and agility.
By attending this program, you will:
- Apply the Chicago Booth Approach to win in the marketplace: Develop the key ingredients of a powerful data analytics strategy: a specific business objective, well-developed theories, and a model that points the way to critical data and deep insight.
- Frame questions to generate data-based insight: Identify specific objectives and related hypotheses to drive data analysis. Avoid biases in interpreting data: Sidestep the common pitfall of unconsciously bending data to support false assumptions and preconceptions.
- Tell the story of the data: Translate data-driven insights into actionable decisions and drive buy-in by delivering a compelling narrative.
Program Structure
The program structure includes:
- 6 week duration
- 30 hours to complete requirements
- 10 hours of on-demand
- HD lectures
- Professor interactions
- Group learning and optional coaching sessions
- Facilitated intra-company team meetings
- Final project - which integrates weekly activities
Experts
Jean Pierre Dubé
Jean-Pierre Dubé is the Sigmund E. Edelstone Professor of Marketing at the University of Chicago Booth School of Business. Professor Dubé is also director of the Kilts Center for Marketing at the Booth School and a Research Associate at the National Bureau of Economic Research. From 2008-2010, he...
Günter Hitsch
Günter J. Hitsch studies quantitative marketing and industrial organization. His research interests include dynamic models of firm and consumer decision-making with a specific focus on dynamic advertising, pricing, sequential experimentation, and consumer discount factor estimation. His recent re...
Sanjog Misra
Sanjog Misra is the Charles H. Kellstadt Professor of Marketing at the University of Chicago Booth School of Business. His research focuses on the use of structural econometric methods to study consumer and firm decisions. In particular, his research involves building data-driven models aimed at ...
Devin Pope
Devin Pope studies a variety of topics at the intersection of economics and psychology. He has published work in top economics outlets such as the American Economic Review, Quarterly Journal of Economics, Journal of Political Economy, and Review of Economic Studies. He has also published in psych...
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Leading with Data and Analytics | ExecOnline
Leading With Data and Analytics at Booth School of Business
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