Aspiring Data Scientists! Learn the basics with these 7 books!

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In the last few years I’ve spent a significant amount of time reading books about Data Science. I found these 7 books to be the best. These together are a very valuable source of learning the basics. It drives you through everything you need to know.

Though they are very enjoyable, none of these is light reading. So if you decide to go with them, allocate some time and energy. It is worth it! If you combine this knowledge with the right online data science courses, it’s already a good-enough level for an entry level Data Scientist position. (In my opinion, at least.)

Note: you can see I listed four O’Reilly books here. If it looks suspicious: I’m not affiliated with them in any way. ;-) I just find their books really useful.

I suggest this specific order:

1. Lean Analytics — by Croll & Yoskovitz

You can buy the book: here (affiliate link).

2. Business value in the ocean of data — by Fajszi, Cser & Fehér

3. Naked Statistics — Charles Wheelan

You can buy the book: here (affiliate link).

4. Doing Data Science — Schutt and O’Neil

You can buy the book: here (affiliate link).

5. Data Science at the Command Line — Janssens

And when you start, I suggest starting with the Command Line. This is the only book I’ve seen about Data Science + Command Line, but one is enough as it pretty much covers everything.

You can buy the book: here (affiliate link).

6. Python for Data Analysis — McKinney

You can buy the book: here (affiliate link).

7. I heart logs — Jay Kreps

You can buy the book: here (affiliate link).

And that’s it!

UPDATE: I’ve created a (free) online video course to help you get started with Data Science. Click here for more info: How to Become a Data Scientist.

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If you want to try out, what it is like being a junior data scientist at a true-to-life startup, check out my new 6-week online data science course: The Junior Data Scientist’s First Month!

Learn more about the data analytics basics — and don’t miss my new data coding tutorial series: SQL for Data Analysis and Python for Data Science!

I wrote a new article about my favorite Statistics Books:
Aspiring Data Scientists! Start to learn Statistics with these 6 books!

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Tomi Mester
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Data analyst @Data36. I create in-depth, practical, true-to-life online tutorials — and video courses to help people learn Data Science.

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