Probability made easy: Continuous randomness
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 2 hours | 1.08 GB
Instructor: Rustam Sadykov


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

In this course you will learn continuous probability theory. You will learn how to predict the results of continuous random events and how to predict how much on average the actual results would deviate from your estimate.

If you are looking for an efficient way to learn/review probability theory, this course is for you. With dynamic slides, each hour of the series covers the material of more than a week of regular live lectures!

What am I going to get from this course?

Over 37 lectures and 2 hours of content!
learn how to predict the results of continuous random events (expected value)
learn how to predict how much on average the actual results would deviate from your estimate (standard deviation)
18 theoretic video lectures and lectures with motivations
17 practice video lectures marked as easy, intermediate and advanced
more than 50 pages of transcripts of video lectures
hundreds of slides, and
my help (post your questions on the board!)

More Info


Probability made easy: Continuous randomness

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