Probability Made Easy

796 students enrolled

Learn fundamental notions of discrete probability theory

796 students enrolled

What Will I Learn?

12 lectures with theory and motivations that every student taking a course in probability theory has to know (lectures 2, 3, 6-14, 16, 21)

7 lectures with fun examples you'll never forget (lectures 4, 5, 15, 17-20)

learn how to estimate bankruptcy risks (lecture 17)

learn that in theory you can always win in a fair game, but in practice you should not attempt to do so (lecture 9)

learn how to solve the problem from introduction (lecture 20)

learn a paradox that puzzles even professional mathematicians (lecture 19)

Requirements

- no materials/software are required
- lectures 1-11, 13, 14, 16, 18-20 require only arithmetic skills
- lectures 12, 15 , 17 require some knowledge of calculus

Description

This dynamic course is the first one in a series of courses that covers a complete course in probability theory taught in the US colleges.

If you take this course, you can count on my help.** I will answer every single question you post on the discussion board.**

If you are looking for an effective way to learn fundamental notions of probability theory, I guarantee that this course is for you. In fact, **I offer a 30 day money back guarantee. **

In this course you will learn fundamental notions of discrete probability theory such as sample space, distribution function, probability, and random variables.

You will learn how to use diagrams and trees to compute probabilities of various events. In particular, you will

- learn how to estimate bankruptcy risks,
- learn that in theory you can always win in a fair game, but in practice you should not attempt to do so,
- learn how to solve the problem from introduction,
- learn a paradox that puzzles even professional mathematicians.

Who is the target audience?

- students taking a regular course in probability theory
- anyone interested in probability theory

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About the Instructor