khan academy statistics for data science

Introduction to Probability by Grinstead and Snell, used as a companion text in Dartmouth College.Introduction to Probability by Blitztein and Hwang, used as a companion text to Harvard Stat 110.I found the following introductory textbooks particularly enlightening. Duke University’s Introduction to Probability and Data with R on CourseraĪs I was going through the lecture series, I found myself requiring some additional help from textbooks.HarvardX Data Science: Probability on DataCamp (Python).HarvardX Data Science: Probability on EdX (R).Again, since the content of the series issimilar, I suggest you opt for one of the following. However, if you feel more comfortable having some guidance through a class, here are my recommendations. If you are already familiar with python or R, it is easy to pick up the syntax required to solve probability problem without having to attend a class. The following lecture series will allow teach you the coding aspect of probability.

The above lecture series does not teach you how to solve probability problems using programming languages like R or python. MITx 6.431 Probability - The Science of Uncertainty and Data (College / Graduate Level).HarvardX Stat 110: Introduction to Probability (College / Graduate level).Khan Academy’s Statistics and Probability (High school level).Since the content of the three series is largely similar, I suggest you opt for one of lecture series and follow through. The following three are excellent lecture series by reputable organizations on probability. But it need not be difficult - the best resources that I share below shy away from jargon and instead teach probability intuitively.ĭisclaimer: I do not receive any compensation for promoting any content in this post.

Probability is not the easiest topic to master as its theoretical nuances can be esoteric and arguably obscure.

Khan academy statistics for data science