Stanford's FREE data science book and course are the best yet

Thanks to Brilliant for sponsoring this video :-)

Here's the link to An Introduction to Statistical Learning
Buy the book Make it Stick (affiliate link)

Learn Data Science (affiliate)

Learn Python with Giles

📚 My favourite python books for beginners (affiliate links)

🆓 Free Python Resource
(This is a great introduction to python)

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[suzannecarter]

Regarding why it's free, when I worked for state government in the U.S., I was told that, if the University received Federal money for the project (software, textbook, online course, etc.), the University could not charge for it. This is why you can get some marvelous things for free if you know where to look. I recently downloaded an MIT graduate school textbook on complexity theory for free.

[angelferhati]

The name of the book : An Introduction to Statistical Learning

[wissenistmacht]

I have read the book last year during my university course focused on machine learning. It gives a pretty good understanding for machine learning. But to become a data scientist you need Python or R, SQL and shell scripting and most important: practical experience in those languages. Even the best book doesn't help if you don't apply the knowledge.

[bassoonatic]

Excellent! Glad to see it come out in Python. When I went through the 2nd edition, I just forced myself to learn it both R and then translate it into Python because there wasn't an option.

[jjlalamcmc]

I just stumbled onto your channel and in 1:50 I love your thought process.
ISLR was the BEST book for data science, focusing on R, that I was assigned while earning my MS in advanced data analytics.
Making It Stick, was the BEST book I read to help become a better teacher. I often thought it should be required learing for ALL teachers and learners.

[mousquetaire]

That book is meant as an prerequisite to their other book: Elements of Statistical Learning

[moazzamjadoon]

This is the recommended book for the Society of Actuaries Statistics for Risk Modeling Exam— along with the book Regression Modeling with Actuarial and Financial Applications, by Edward W. Frees, 2010 for their data science micro-credential.

[abhishekajay]

ESLR and ISLR are one of the best statistical learning books out there. Read both of them during Data Science and Data Mining classes in grad school and I still go back to them!

[JawwadHafeez]

I completed this coursework many years back when online courses just started.
Its wonderful. I created a basis for all my future work.

[igordemetriusalencar]

It was an absolutely beautiful surprise to see that ISL book has a version with R programing language examples!!! Thank God!!!

[TheCJD]

I'm glad you've highlighted these excellent books. The statistical learning book has been around for a good number of years and is well-regarded by those who know it.
I have read parts of it before and I've recently gone back to read it again after the Python version was published! :)

[andreyzhuchkov]

great transitions from frame to frame, it's a pleasure to watch. An example would be the way you introduce a stack of papers only to pick it up later thus creating a mini storyline.

[ahbarahad]

I read half of this book last year, It probably is the best book out there to study machine learning from ground up and build intuition for it, Fun Fact, one of the authors of this this book(Daniela Witten) is the daughter of Edward Witten(the physicist) iykyk

[kingofcastlechaos]

I have that book on Audible and it is awesome. I recommend it to so many people and now realize I want to listen to it again. Changed my life- I just wish it had happened to me when I was 12. Great video, thanks.

[adityamatele]

YOU! Have such a great voice. It makes a person wait and listen to you. Really as a non subscriber, you just pulled me towards the video. Appreciate it.

[NomadicBrian]

Regarding Stanford I'd like to add a great experience I had with free classes some time ago using Java. These were recorded sessions and a course outline and links to source. I was searching around for a refresher on Java because I got a book on Mobile app development with Native Android. The book was using Java at the time (these days it is Kotlin for Android). We built a number of applications and it was a lot of fun. Could not believe they offered this for free and there was a substantial amount covered.

[neilclay]

People thinking that they're going to be able to leverage the info in those books without the necessary maths skills to do so are going to be sorely disappointed.

[thomasfsr]

I used this book to study for the micromaster program of MIT. Glad to know that now we have a python version at last!

[pipertripp]

oh yeah, it's ISLP instead of ISLR. I have the latter and yeah, it's a great book! I worked through some, but I was completely lacking in a stats background of any kind, so I pivoted to learning statistics which has been great. I'm a big fan of R, but Python is a great (and more broadly applicable) language too. The R version is a bit dated now as there are more modern packages that are easier to use, but the fundamentals are all there and it's definitely a book worth having. I'm sure the Python version is excellent. The R version even has supplementary videos where the authors talk through topics. The name of the channel is datascienceanalytics.

[aytviewer]

I have both versions of this book (Python & R). I downloaded them to start with and then purchased hard-covered versions of both books. They are fantastic.