Probability made easy: Learn Bayes Law

Learn Bayes Law
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  • Lectures 16
  • Length 1.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 10/2015 English

Course Description

This course is a part 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 efficient way to learn 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 conditional probability, Bayes formula, and you will learn how to tell whether two (or more) events are independent or not. The notions of conditional probability and independence are at the heart of probability theory.

The course consists of

  • theoretic lectures and lectures with motivations, and
  • practice lectures

In general, practice lectures are marked as easy, intermediate and advanced. All lectures are accompanied with downloadable transcripts.

What are the requirements?

  • you need to know the notions of a sample space and probability of events

What am I going to get from this course?

  • solve any standard problem on conditional probability

Who is the target audience?

  • college students who are taking a course in probabiltiy theory (it you consider a tutor - this course is definitely for you), and
  • college students who plan to take a course in probability

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Start Here
Section 2: Conditional probability
Conditional probability: Motivations
Conditional probability: Definition
Problem solving (easy)
Problem solving (intermediate)
Section 3: Bayes Law
Bayes Law: Motivation and theory
Problem solving (easy): Flu problem
Problem solving (intermediate I)
Problem solving (intermediate II)
Section 4: Independent events
Independent events: Motivations
Independent events: Definition
Problems solving (easy)
Problems solving (warning!)
Independence of three events
Independence of more than two events
Section 5: Thank you!
Thank you!
1 page

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Instructor Biography

I am a professional mathematician. As a mathematician I worked in US, Mexico, Japan, Canada and Germany. I am an author of 16 research papers published in internationally renowned journals.

I taught courses ranging from middle school to PhD level, including such high level courses as Topological Quantum Field Theory, Moduli spaces of Riemann curves, and Topological Surgery Theory.

What you may expect from me is a well structured course with clearly explained notions and theory.

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