In this course you will learn about probability #statistics for data science. This #probability course is very practical and comprehensive which will enable you to learn probability statistics easily and apply it to #datascience domain.


** Topics of this course **
(0:5) Basics of Probability - events and outcomes
(3:14) Basic Probabilities
(5:23) Probability - Complements
(7:03) Joint probabilities of independent events: P(A and B)
(11:32) Probability of two events: P(A or B)
(16:20) Probabilities from a table: AND and OR
(19:15) Basic conditional probability
(23:44) Conditional probability with cards
(28:13) Conditional probability from a table
(30:47) Probability of a diease given a positive test: Bayes Thorem ex1
(34:49) Probability of a disease given a postiive test: Bayes Theorem ex2
(39:32) Basic counting
(42:52) Counting using the factorial
(47:12) Permutations
(51:19) Combinations
(55:56) Combinations 2
(58:14) Probabilities using combinations
(1:3:0) Probabilities using combinations: cards
(1:6:0) Probability: the birthday problem
(1:10:54) Expected value
(1:15:51) Expected value of insuranc


** Credit **
Video to accompany the open textbook Math in Society
Website: http://www.opentextbookstore.com/mathinsociety/
Part of the Washington Open Course Library
License: https://creativecommons.org/licenses/by-sa/3.0/us/


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