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Decision Foundations & Diagnostic Analytics

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Coursera

Decision Foundations & Diagnostic Analytics

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply decision frameworks and expected utility analysis to evaluate multi-scenario business cases and recommend evidence-based strategic options.

  • Identify cognitive biases in completed business decisions and design repeatable debiasing checklists for analytics review workflows.

  • Design and optimize KPI dashboards using visual-design best practices and evaluate descriptive metrics against real stakeholder questions.

  • Apply root-cause analysis techniques — including 5 Whys and Pareto analysis — to diagnose operational problems and validate findings with data.

Details to know

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Recently updated!

April 2026

Assessments

24 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the AI-Powered Decision Intelligence: Data to Strategic Insights Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 13 modules in this course

Apply expected utility calculations to multi-scenario business cases and recommend optimal strategic choices.

What's included

1 video1 reading1 assignment1 ungraded lab

Evaluate organizational risk preferences by plotting utility curves and interpreting their strategic implications.

What's included

3 videos1 assignment

Apply OODA or Cynefin frameworks to structure unstructured problems and evaluate framework suitability for different contexts.

What's included

3 readings1 assignment

Evaluate alternative decision frameworks for suitability using contextual criteria and strategic alignment principles.

What's included

2 videos1 reading2 assignments

This course objective equips learners to critically examine past business decisions, uncover hidden cognitive biases that shaped outcomes, and recommend practical debiasing techniques to improve judgment, decision quality, and future organizational performance.

What's included

1 video2 readings2 assignments

Design and implement bias-mitigation checklists for recurring reviews and pilot in workplace meetings.

What's included

2 videos3 assignments

Learn to generate descriptive statistics with data quality flagging for robust analytics foundations.

What's included

2 videos1 reading1 assignment1 ungraded lab

Master layout and visual design principles to rebuild cluttered dashboards with measurable improvements.

What's included

2 readings2 assignments

Learn to evaluate dashboard usage patterns and identify low-value elements for strategic optimization.

What's included

2 videos1 reading1 assignment

Synthesize analysis findings into strategic recommendations that align with stakeholder decision-making needs.

What's included

2 videos1 reading3 assignments

Learners will apply the 5 Whys and Pareto analysis to identify dominant drivers of cost-overrun incidents and validate findings with data.

What's included

3 videos1 reading2 assignments

Learners will evaluate multiple RCA techniques (Ishikawa, RCA tree) on a sample issue and document the most explanatory approach.

What's included

1 video2 readings3 assignments

You will explore how generative AI tools can accelerate decision frameworks, data analysis, and root-cause diagnostics — and practice the critical validation habits that keep AI-assisted outputs accurate and trustworthy.

What's included

1 video3 readings2 assignments

Earn a career certificate

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Instructor

Professionals from the Industry
405 Courses58,389 learners

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.