An Intuitive Introduction to Probability
Master fundamental probability concepts through practical examples. Learn to calculate probabilities, analyze random variables, and understand distributions.
Master fundamental probability concepts through practical examples. Learn to calculate probabilities, analyze random variables, and understand distributions.
This beginner-friendly course provides an intuitive approach to probability theory. Students learn essential concepts including basic probability rules, conditional probability, random variables, and normal distribution. The curriculum combines theoretical foundations with practical applications through real-world examples and interactive exercises.
4.8
(1,745 ratings)
79,572 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Understand fundamental probability concepts
Master conditional probability and Bayes' Theorem
Analyze discrete random variables
Work with normal distributions
Apply probability to real-world scenarios
Solve practical probability problems
Skills you'll gain
This course includes:
5.5 Hours PreRecorded video
32 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces probability theory through an intuitive and practical approach. The curriculum covers fundamental concepts from basic probability rules to advanced topics like normal distribution. Students learn through interactive modules that include real-world applications, ranging from birthday problems to financial modeling and risk assessment. The course emphasizes practical understanding through numerous examples and exercises.
Probability
Module 1 · 6 Hours to complete
Conditional Probability
Module 2 · 5 Hours to complete
Application
Module 3 · 4 Hours to complete
Discrete Random Variables
Module 4 · 7 Hours to complete
Normal Distribution
Module 5 · 5 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Distinguished Finance Scholar Advancing Computational Economics and Climate Change Research
Karl Schmedders currently serves as Professor of Finance at IMD Business School, bringing extensive expertise in computational economics and sustainable finance. After earning his PhD in Operations Research from Stanford University in 1996, he built an impressive academic career including positions at Northwestern University's Kellogg School of Management and the University of Zurich. His research combines complex computational methods with economic and financial modeling, particularly focusing on sustainability and climate change economics. He has published extensively in prestigious journals including Econometrica, The Journal of Finance, and The Review of Economic Studies. His excellence in teaching has been recognized with multiple awards, including Stanford's Walter J. Gores Award and Kellogg's L.G. Lavengood Professor of the Year Award. As a Co-Editor of "Quantitative Economics" and area editor for "Operations Research," he continues to shape academic discourse in his field while advocating for sustainable business practices and climate change solutions.
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4.8 course rating
1,745 ratings
Frequently asked questions
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