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Statistics 110: Probability

by Harvard University

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Course Description

Statistics 110 (Probability), which has been taught at Harvard University by Joe Blitzstein (Professor of the Practice in Statistics, Harvard University) each year since 2006. The on-campus Stat 110 course has grown from 80 students to over 300 students per year in that time. Lecture videos, review materials, and over 250 practice problems with detailed solutions are provided. This course is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are useful in statistics, science, engineering, economics, finance, and everyday life. Topics include the following. Basics: sample spaces and events, conditioning, Bayes’ Theorem. Random variables and their distributions: distributions, moment generating functions, expectation, variance, covariance, correlation, conditional expectation. Univariate distributions: Normal, t, Binomial, Negative Binomial, Poisson, Beta, Gamma. Multivariate distributions: joint, conditional, and marginal distributions, independence,  transformations, Multinomial, Multivariate Normal. Limit theorems: law of large numbers, central limit theorem. Markov chains: transition probabilities, stationary distributions, reversibility, convergence. Prerequisite: single variable calculus, familiarity with matrices.

Customer Reviews

Joe is the best!!!

Joe's teaching skills exceeds other statistics professors significantly, so do his jokes.
Trust me, my friend. I took this course two years ago, and you are so lucky could be mentored by the most brilliant professor in the world! And it is free!

For what you can learn from Stat 110, there is no better!

Professor Blitzstein is just the best at what he does - for the level of difficulty and complexity of the material, it's surprisingly well presented and easy to understand! Most professors of Blitzstein's caliber fail to adequately present and teach the material because so many of the concepts we find difficult may be trivial for them, but professor Blitzstein has a way with painting pictures and making stories that make even the toughest distributions, probability functions, theorems, etc. (including ways of solving notoriously difficult Putnam Competition questions) make so much sense! Job interviews - no problem anymore!

Good except for way these videos are recorded.

Everything in this course is nice. The professor is really good and he explains things well. However, the only thing I hate so much about this course that makes me stop watching it is that the recorder always zoomed in to the professor's face. That means I cannot see anything he wrote on the blackboard and it's pretty annoying to constantly go back and watch what he just wrote again. Seriously, the recorder can zoom out a bit to make us able to see the whole board, because the text is big anyway. Please fix this next time the recorder.

Statistics 110: Probability
View In iTunes

Customer Ratings

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