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Think Again III: How to Reason Inductively

Master inductive reasoning to solve real-world problems, from analyzing evidence to making probabilistic decisions.

Master inductive reasoning to solve real-world problems, from analyzing evidence to making probabilistic decisions.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Logic and Critical Thinking Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(359 ratings)

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English

پښتو, বাংলা, اردو, 3 more

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Think Again III: How to Reason Inductively

This course includes

24 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Analyze and evaluate sample-based generalizations

  • Identify and apply causal relationships

  • Use probability to make informed decisions

  • Evaluate competing explanations effectively

  • Apply analogical reasoning to solve problems

Skills you'll gain

Inductive Reasoning
Causal Analysis
Probability Theory
Statistical Inference
Decision Making
Critical Thinking
Analytical Skills
Evidence Analysis
Logic
Problem Solving

This course includes:

7.4 Hours PreRecorded video

26 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

In this comprehensive course, students learn to master five essential forms of inductive reasoning: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The curriculum progresses through practical applications including solving mysteries, analyzing evidence, and making probability-based decisions. The course culminates with advanced topics in probability and decision theory, including Bayes' theorem and expected value calculations.

Welcome to the Course

Module 1 · 14 Minutes to complete

Inductive Arguments

Module 2 · 8 Hours to complete

Causal Reasoning

Module 3 · 6 Hours to complete

Chance and Choice

Module 4 · 8 Hours to complete

Catch-Up and Final Quiz

Module 5 · 30 Minutes to complete

Fee Structure

Instructors

Dr. Ram Neta
Dr. Ram Neta

4.8 rating

28 Reviews

3,59,831 Students

13 Courses

Distinguished Epistemologist and Philosophy Scholar

Dr. Ram Neta serves as Professor of Philosophy at the University of North Carolina at Chapel Hill, where he has established himself as a leading expert in epistemology. His research explores fundamental questions about the nature of knowledge, rationality, and evidence, with particular focus on how species-specific properties determine epistemic constraints. He has published extensively in prestigious journals, with dozens of articles examining topics ranging from the nature and extent of knowledge to the rationality of belief formation and the compelling nature of skeptical arguments. His scholarly contributions include editing several influential volumes in epistemology and developing new perspectives on how arguments for skepticism become compelling. Through his popular Coursera series "Think Again," co-taught with Walter Sinnott-Armstrong of Duke University, he has brought philosophical reasoning to hundreds of thousands of students worldwide. His current research investigates how an animal's species membership influences its representational capabilities and epistemic constraints. As Director of Placement in the Philosophy Department, he also plays a crucial role in mentoring the next generation of philosophers while continuing to advance our understanding of knowledge and rational belief.

Dr. Walter Sinnott-Armstrong
Dr. Walter Sinnott-Armstrong

4.8 rating

551 Reviews

3,50,658 Students

4 Courses

Professor of Practical Ethics at Duke University

Dr. Walter Sinnott-Armstrong holds the position of Chauncey Stillman Professor of Practical Ethics in the Philosophy Department and the Kenan Institute for Ethics at Duke University. He is also part of the Core Faculty in the Duke Institute for Brain Sciences. Dr. Sinnott-Armstrong has a distinguished academic career, having served as vice-chair of the Board of Officers of the American Philosophical Association and co-director of the MacArthur Project on Law and Neuroscience. His scholarly work encompasses moral theory, philosophy of religion, theory of knowledge, and informal logic.His current research focuses on how psychology and neuroscience can inform our understanding of moral beliefs and moral responsibility. Dr. Sinnott-Armstrong has taught courses on reasoning for over thirty years, offering insights into critical thinking and argumentation. On Coursera, he teaches a series of courses titled "Think Again," which includes modules on understanding arguments, deductive reasoning, inductive reasoning, and avoiding logical fallacies. Through these courses, he aims to enhance learners' reasoning skills and their ability to engage with complex ethical issues.

Think Again III: How to Reason Inductively

This course includes

24 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

359 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.