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Track

Decision Science Fundamentals

Updated 05/2026
Powerful toolkit for smarter decisions. Build, optimize, and evaluate decision models, avoid bias, and apply analytical thinking to real problems.
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Track Description

Decision Science Fundamentals

Unlock the full potential of data-informed decision-making in this hands-on track. Begin with the fundamentals of decision science—problem framing, modeling, and ethical considerations. Then, master tools like decision trees, expected value analysis, and scenario modeling to make strategic, data-backed choices. Round out your skills with techniques to recognize, measure, and mitigate bias in data collection, analysis, and decision logic. By working through real-world case studies and interactive exercises, you’ll gain the confidence and credibility to make fair, transparent, and effective decisions across a wide range of industries.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Demystifying Decision Science

    Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

  • Course

    2

    Decoding Decision Modeling

    Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

  • Course

    3

    Conquering Data Bias

    Unlock your data's potential by learning to detect and mitigate bias for precise analysis and reliable models.

Decision Science Fundamentals
3 Courses
Track
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