Free: The Best Books for Learning Modern Statistics

A quick fyi: Dan Kopf, an eco­nom­ics reporter, has a tip that seemed worth pass­ing along. Over at Quartz, he writes:

As a for­mer data sci­en­tist, there is no ques­tion I get asked more than, “What is the best way to learn sta­tis­tics?” I always give the same answer: Read An Intro­duc­tion to Sta­tis­ti­cal Learn­ing. Then, if you fin­ish that and want more, read The Ele­ments of Sta­tis­ti­cal Learn­ing. These two books, writ­ten by sta­tis­tics pro­fes­sors at Stan­ford Uni­ver­si­ty, the Uni­ver­si­ty of Wash­ing­ton, and the Uni­ver­si­ty South­ern Cal­i­for­nia, are the most intu­itive and rel­e­vant books I’ve found on how to do sta­tis­tics with mod­ern tech­nol­o­gy… You can down­load them for free.

Find An Intro­duc­tion to Sta­tis­ti­cal Learn­ing in PDF for­mat here. And The Ele­ments of Sta­tis­ti­cal Learn­ing here. Physical/hard copies can be pur­chased respec­tive­ly here and here.

We’d also rec­om­mend sup­ple­ment­ing these resources (both now avail­able in our col­lec­tion of Free Math Text­books) with video-based class­es found on our list of Free Math Cours­es, a sub­set of our big col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

via Quartz

Relat­ed Con­tent:

Against All Odds: A Gen­tle Intro­duc­tion to Sta­tis­tics Host­ed by Har­vard Geneti­cist Par­dis Sabeti (Free Online Course)

Sta­tis­tics Explained Through Mod­ern Dance: A New Way of Teach­ing a Tough Sub­ject

Flo­rence Nightin­gale Saved Lives by Cre­at­ing Rev­o­lu­tion­ary Visu­al­iza­tions of Sta­tis­tics (1855)