Based on the best-selling book, Bulletproof Problem Solving, by Charles Conn and Robert McLean. This course offers a systematic, structured approach to problem-solving, providing learners with tools to address challenges in both personal and professional environments. By using real-world case studies, participants will develop the skills needed to analyze complex problems and take actionable steps toward their resolution.
Problem Solving Skills and Critical Thinking
Problem Solving Skills and Critical Thinking
Instructor: Wiley-Expert Edge Course Instructors
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify and define problems using a systematic approach
Break down complex problems into manageable components
Prioritize tasks effectively using logic trees
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
March 2026
Assessments
10 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 10 modules in this course
In this section, we apply the Bulletproof seven-step problem-solving cycle, building MECE logic trees to break issues apart, then prioritizing key variables to direct analytics and synthesize actionable recommendations.
What's included
2 videos7 readings1 assignment
In this section, we convert vague challenges into outcome-focused problem statements, employing SMART criteria, KPIs and explicit scope boundaries to streamline analysis and secure strategic advantage.
What's included
1 video4 readings1 assignment
In this section, we build MECE logic trees, compare deductive versus inductive structures, and apply pruning to prioritize high-impact root causes, streamlining analysis and improving strategic decision allocation.
What's included
1 video7 readings1 assignment
In this section, we explore critical path workplans, blend chunky and lean planning with one day answers, and adopt agile team norms that reduce bias and spark inventive, data informed problem solving.
What's included
1 video5 readings1 assignment
In this section, we use heuristics and rules of thumb to size relationships, choose focused analyses that objectively test hypotheses, and coordinate team checks that minimize bias before complex modeling.
What's included
1 video2 readings1 assignment
In this section, we learn when heuristics falter and how to select, resource, and deploy Bayesian statistics, regression, Monte Carlo simulation, randomized controlled trials, machine learning, and game theory for demanding data challenges.
What's included
1 video11 readings1 assignment
In this section, we synthesize multi-source findings into succinct insights, apply pyramid logic to structure data narratives, and refine storytelling techniques to persuade skeptical stakeholders, ensuring analyses directly influence decisions.
What's included
1 video3 readings1 assignment
In this section, we classify uncertainty levels, construct logic trees and scenario analyses, and apply real-option portfolios to design resilient long-term strategies across capital investment, career trajectories and ecosystem conservation.
What's included
1 video8 readings1 assignment
In this section, we map interconnected systems to classify obesity and overfishing as wicked problems, apply the seven-step framework to decompose causes, and prototype ecologically-economic policy solutions.
What's included
1 video4 readings1 assignment
In this section, we develop the mindset to become a great problem solver.
What's included
1 reading1 assignment
Instructor
Offered by
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