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DataCamp

Decision Science Fundamentals

via DataCamp

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Overview

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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.

Syllabus

  • Demystifying Decision Science
    • Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
  • Decoding Decision Modeling
    • Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
  • Conquering Data Bias
    • Unlock your data's potential by learning to detect and mitigate bias for precise analysis and reliable models.

Taught by

Konstantinos Kattidis, Tiago Brasil, Howard Friedman, and Akshay Swaminathan

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