Statistics is super important if you are
planning to build a career in data
science. In today's video we are going to
talk about three books that you should
read to improve your statistics skills.
Now just a disclaimer-
I have read these books and I found them
to be good but they are not super
excellent. So I'm yet to find a book that
just blows my mind.
The first one is An Introduction to
Statistical Learning. It's a free book
you can download a pdf from the website
and the link I'm going to provide in the
video description below.
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account to get a 50 person discount. The
book has code in R. So you learn some
theory and you can practice that those
theoretical concepts in
R. So the downside is if you want to
build a career as a python data
scientist then you know you might be a
little disappointed. But hey! it's a free
book, so what's a big deal! The book also
has exercises that you can practice on
and it has
content on deep learning. The other two
books doesn't have content on deep
learning, so that's another positive side
of this book. The book is little lengthy.
It has 600 pages, but it's okay I mean
statistics is a huge field and as a data
scientist if you want to build a diverse
skills then this book will be a right
choice for you. The second book is also
free! See amazing, the first two books are
free. The name of the book is Think Stats.
The book
has a lot of exercises that you can
practice after learning those skills.
Now this one has code in python. It
doesn't have R code. So the first book
had code in r the first, the second book
has code in python. So the downside is if
you're planning to build a career as a R
data scientist, then you might be a
little disappointed. But hey! again is
this free right. So why you why you are
complaining!
Here is the third book. Practical
Statistics for Data Scientists. The book
has around 330 pages. It has
code both in R and Python and this book
is not free, so you have to pay.
On Amazon the book has good 4.6 star
rating, which means the book really has
good content and the people who bought
this book are
finding it to be useful. It has six major
chapters covering majority of the data
science concepts like Explorative Data
Analysis to Classification, Statistical
Machine Learning,
Unsupervised
Machine Learning, etc, etc.
So this was a quick
uh review of the three books that I like
personally. Again these are not
super amazing books and I usually prefer
reading online like different websites
to improve my statistics skills. uh There
is a youtube channel called StatQuest,
which is pretty good. uh You know George
Starmer who runs that's that youtube
channel explains the concepts using a
very uh visual methodology. So you're
probably going to like that.
If you have any question, please post in
a
video comment section below.
Good luck!!