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This course is about the human side of analysis in an AI-heavy workplace: reasoning, judgement, problem solving and communication. Its premise is that AI can execute quickly, but people still have to decide which questions are worth asking.
Classic methods such as the Socratic method and Aristotelian logic sit alongside the Paul-Elder model. The course applies them to business cases, including how they help when writing prompts or checking AI output.
Hands-on projects and a companion ebook give the material a practical shape. It suits analysts and business leaders who want AI to sharpen their reasoning rather than replace it.
AI is transforming the way we live, work, and make decisions. But in a world driven by algorithms, the most valuable skill isn’t how fast you can execute, it’s how well you can think.
Welcome to Critical Thinking in the Age of AI — a course designed to help you strengthen the skills that make us uniquely human, like reasoning, judgment, problem solving and communication.
We’ll start by exploring what it means to think like a strategist. While AI excels at execution, it relies on humans to ask the right questions. We’ll explore the habits of great critical thinkers, introduce the pillars of clarity, logic and creativity, and discuss why these skills are more important than ever.
Next we’ll introduce proven, time-tested frameworks for structured reasoning, from classics like the Socratic Method and Aristotelian logic to modern approaches like the Paul-Elder Critical Thinking model. We’ll introduce the core principles, practice applying them to real-world business cases, and explore how they can help you work smarter with AI, from writing better prompts to evaluating model outputs.
From there, we’ll start building powerful problem solving skills. You’ll learn how to translate vague requests, build testable hypotheses, and design measurement plans that align with business goals. You’ll also learn how to analyze and interpret data with confidence, by separating signal from noise, spotting flawed reasoning, and avoiding logical fallacies – like confirmation bias and false causation – that AI models tend to struggle with.
Last but not least, we’ll focus on the art of turning insight into impact. We’ll share practical tips to help you communicate with clarity and confidence, anticipate objections and defend your reasoning, and present data-driven stories that inspire stakeholders to act. This is how you move beyond simply “pulling reports”, and start delivering real value on the job.
COURSE OUTLINE:
Foundational Concepts
Learn why a strategist mindset centered around the key pillars of clarity, logic, and creativity are more vital than ever, especially in the age of generative AI
Frameworks & Models
Learn the basics of timeless historical and modern critical thinking frameworks and how they can equip you to navigate a changing world
Applied Skills
Learn how to translate vague business requests into clear problems, build testable hypotheses, and design measurement plans that align data with real business goals
Analysis Execution
Learn how to interpret data with rigor, separate signal from noise, avoid logical fallacies, and evaluate evidence to build credible, well-supported insights
Impact Delivery
Learn how to turn analytical findings into actionable recommendations, anticipate and address objections, and communicate insights that drive confident executive decisions.
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Ready to dive in? Join today and get immediate, LIFETIME access to the following:
3+ hours of high-quality video
5 course quizzes
4 hands-on course projects
Critical Thinking in the Age of AI ebook (100+ pages)
Expert support and Q&A forum
30-day Udemy satisfaction guarantee
Whether you’re a data professional, a business leader, or just looking to sharpen your critical thinking skills, you're in the right place. By the end of the course you’ll have the tools you need to make smarter, more confident decisions – using AI as a co-pilot, not a crutch.
Happy learning!
-The Maven Anaytics Team
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