Big Data in Managerial Decision-Making
Elevate your decision-making skills using big data and integrate foundational data analysis into your role.

Course Information

Start Date: To Be Announced

Format: Live Virtual

Times: 9:00 a.m. – 11:00 a.m.

Cost: $2,250

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Learn to lead with confidence in a data-driven world. During this program, suitable for non-specialists, you will learn about both the capabilities and limitations of big data, AI and data analytics. You will be taught a framework from which to understand big data and analytics and leave with a toolbox that you can use to lead effective business analytics initiatives and make fact-driven decisions based on analysis.

Big Data and Managerial Decision-making was designed to give decision makers the framework to understand and implement data projects that generate actionable insights to help them make fact-driven decisions. The fact is that the hardest parts of implementing a big data analytics strategy or project do not involve data science or technology. Rather, the real challenges are ones of leadership and management.

Key Takeaways:
  • Understand what big data/AI can and can’t do (abilities and limitations)
  • Learn how to use experiments and predictive analysis to improve decision-making
  • Learn to develop strategies to integrate data analytics for fact-based decision-making processes across an organization
  • Judge what “good” looks like in data science
  • Identify where analytics provides value add and where it doesn’t
  • Lead with confidence in a data-driven world
Course Reminder Form

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Who Should Attend

This course is designed for executives who are interested in implementing big data initiatives, area leaders whose operational areas would benefit from increased use of data analytics (e.g., marketing), managers who want to understand/deploy/scale analytics and AI in their organization, and anyone who wants to understand the benefits and limits of big data/AI and data-driven decision-making.

Digital Badge and Certificate

An important aspect of our programs is the ability to share your accomplishment with important stakeholders. Upon completing Managerial Decision-Making with Big Data, you will earn a digital badge recognizing your new proficiency. Share and showcase your achievements by posting your digital badge to online resumes and social networks such as LinkedIn.
TIME REQUIREMENTS
10 live hours total, 5 live sessions of 2 hours each. There are at least 20 hours of reading and exercises.
Additional Dates
To Be Announced
COURSE DISCLAIMER
Every reasonable effort will be made to ensure this course runs as described on this webpage. Please note that course dates and professors are subject to change. You will be notified by email in advance if there is a date or professor change. Additionally, this course requires a minimum number of registrants to take place. You will be notified by email if the course does not meet this minimum.

Teaching Methods

Live, Online: This program will take place over five 2-hour sessions of live, synchronous class sessions each day that include small group breakout sessions and discussions. To maximize this collaborative learning experience for everyone, participants are expected to attend every session and contribute actively during the class and while in small groups. This format allows for spontaneous questions and answers for immediate clarification, real-time coaching and real-world practice.

Program Faculty

Tom Chang

Associate Professor of Finance and Business Economics

Tom Chang is an associate professor of Finance and Business Economics at the Marshall School of Business and a research fellow at both the Schaeffer Center for Health Policy and Economics and the Dornsife Center for Economic and Social Research. He received a BS in Physics (1998) and a PhD in economics (2009), both from the Massachusetts Institute of Technology. His current research focuses on better understanding individual decision-making and its implications for firm behavior.

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