Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

Transform the way you make decisions at work. In this course, you will build a powerful combination of analytical and diagnostic skills — learning to apply decision frameworks, identify cognitive biases, design clear KPI dashboards, and uncover the root causes behind business problems. You will work with real-world scenarios drawn from strategy, operations, and performance management. By the end, you will be able to structure ambiguous problems using frameworks like OODA and Cynefin, evaluate risk through utility curves, design dashboards that communicate insights efficiently, and apply root-cause analysis techniques like the 5 Whys and Pareto analysis to validate findings with data. This course is built for analysts, managers, and business professionals who want to move beyond instinct-driven decisions and build a repeatable, evidence-based approach to strategic thinking. Every skill you practice connects directly to the decisions you face on the job.

Syllabus

Expected Utility Theory in Business Decision-Making

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

Risk Assessment Through Utility Curves

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

Strategic Framework Application and Selection

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

Comparative Framework Evaluation and Strategic Alignment

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

Decision Bias Analysis - Foundation

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.

Bias Mitigation Checklist - Core Application

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

Descriptive Statistics & Data Quality - Foundation

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

Dashboard Design & Optimization - Core Application

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

Usage Analytics & Performance - Integration

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

Strategic Recommendations - Assessment

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

5 Whys & Pareto Analysis - Foundation

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

RCA Technique Evaluation - Core Application

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

GenAI Literacy Module: AI-Augmented Decision Analytics

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.