Leading with Data & Analytics

Learn how to improve business outcomes through leveraging analytics to make evidence-based decisions.

play PROGRAM OVERVIEW 1:49
Program Duration

6 weeks

Time Commitment

30 hours
(5 hours/week)

Certification

Chicago Booth Certificate of Completion

About the Program

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.

Program Overview

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Who Should Attend

  • Senior Leaders
  • Mid-level & Team Leaders
  • Project Managers
  • Directors

Program Structure

  • 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

Key Takeaways

  • 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.

Upcoming Program Dates

  • Apr 22 – June 2
  • July 8 – Aug 18
  • Sept 2 – Oct 13
  • Oct 21 – Dec 1

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Experienced Faculty

  • Devin G. Pope

    Steven G. Rothmeier Professor of Behavioral Science and Economics/Robert King Steel Faculty Fellow

    Devin Pope is the Steven G. Rothmeier Professor of Behavioral Science and Economics at the Booth School of Business at the University of Chicago. Pope is a behavioral economist that researches a variety of topics at the intersection of economics and psychology.

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  • Sanjog Misra

    Charles H. Kellstadt Professor of Marketing

    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 machine learning, deep learning and structural econometric methods to study consumer and firm decisions. In particular, his research involves buil…

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  • Jean-Pierre Dubé

    James M. Kilts, Distinguished Service Professor of Marketing and Charles E. Merrill Faculty Scholar

    Jean-Pierre Dubé is the James M. Kilts Distinguished Service 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, a Research Associate at the National Bureau of Economic Research and a f…

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  • Günter J. Hitsch

    Kilts Family Professor of Marketing

    Günter J. Hitsch is the Kilts Family Professor of Marketing at the University of Chicago Booth School of Business. He studies quantitative marketing and industrial organization. His research interests include dynamic models of firm and consumer decision-making with a specific focus on advertising, …

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Additional Information

  • Will I receive a grade or university credit?

    Our programs are designed for busy professionals. Participants are expected to spend 4-5 hours each week watching video lectures and completing assignments. There are also live online sessions most weeks, which last 1-1.5 hours each.

  • How long does the program last?

    Our programs are designed for busy professionals. Participants are expected to spend 4-5 hours each week watching video lectures and completing assignments. There are also live online sessions most weeks, which last 1-1.5 hours each.

  • Will I receive a grade or university credit?

    Our programs are designed for busy professionals. Participants are expected to spend 4-5 hours each week watching video lectures and completing assignments. There are also live online sessions most weeks, which last 1-1.5 hours each.

  • How many hours per week am I expected to devote to the program?

    Our programs are designed for busy professionals. Participants are expected to spend 4-5 hours each week watching video lectures and completing assignments. There are also live online sessions most weeks, which last 1-1.5 hours each.

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