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Course Description

Data is the driving force behind the digital revolution, yet the challenge lies in refining that data to inform impactful decisions and address complex societal questions. This program empowers you to navigate this critical process through data-driven strategies. You will discover how to use Python to transform questions into precise mathematical formulations and conduct computational analyses using powerful libraries.

By setting up optimization models and designing algorithms, you will gain the ability to compute optimal solutions for varied scenarios. This approach will provide new perspectives on addressing global challenges. As you apply these data-driven methods, you’ll generate actionable outcomes and recommendations applicable in real-time situations.

Upon completing this program, you will possess the skills to confidently leverage data for informed decision making, ready to make a significant impact in your field.

Faculty Author

David Shmoys; David P. Williamson; Frans Schalekamp; Samuel Gutekunst

Benefits to the Learner

  • Understand the breadth of quantitative decision-making situations that often arise in society
  • Develop the skills needed for mathematical modeling of real-world decision-making situations, incorporating applications with data at scale
  • Leverage fundamental algorithms used to solve such models and the basic mathematical techniques of validating the accuracy and efficiency of these solution methods
  • Build familiarity with the current software used in the computational analysis of these models

Target Audience

  • Entry-level to executive professionals looking to uncover insights from data
  • Aspiring data professionals from non-STEM backgrounds
  • Business decision makers
  • Lifelong learners
  • People interested in current trends of data modeling for decision making
  • Summer and Winter session extramural students

Applies Towards the Following Certificates

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Type
14 week
Dates
Aug 27, 2025 to Dec 02, 2025
Total Number of Hours
140.0
Course Fee(s)
Standard Price $3,750.00
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