Top 10 Best Data Science Books In [2022]

Last Update:

Our team studied on 54007 reviews available online for Data Science Books, chose the finest ones and prepared Data Science Books Reviews for you. It was very difficult to shortlist the ideal Data Science Books from thousands of products online. However, We tried to make sure that you get only the Best Data Science Books from our suggestions. Check our listings-:

Best Data Science Books
Disclaimer: As An Amazon Associate I Earn From Qualifying Purchases.
NoProductScoreAction
1Becoming a Data Head: How to Think9.6Check Todays Price
2Data Science (The MIT Press Essential Knowledge series)9.2Check Todays Price
3Ultimate Step by Step Guide to Data Science Using Python: Real Word Use Cases with Downloadable Code Examples (Ultimate Step by Step Guide to Machine Learning Book 3)9.2Check Todays Price
4The Book of Why: The New Science of Cause and Effect9.2Check Todays Price
5Data Science from Scratch: First Principles with Python9Check Todays Price
6Data Science on AWS: Implementing End-to-End9Check Todays Price
7Naked Statistics: Stripping the Dread from the Data9Check Todays Price
8Data Science for Beginners: 4 Books in 1 — Master the Basics of Python Programming and Learn The Art of Data Science with Real-World Applications to Artificial Intelligence and Machine Learning8.6Check Todays Price
9Data Science Without Makeup: A Guidebook for End-Users8.4Check Todays Price
10Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG8.2Check Todays Price

Comparison Chart for Best Data Science Books

Our team scanned 54007 reviews before putting any suggestions for the Data Science Books in this article.

Table Of Content:

1. Becoming a Data Head: How to Think

2. Data Science (The MIT Press Essential Knowledge series)

3. Ultimate Step by Step Guide to Data Science Using Python: Real Word Use Cases with Downloadable Code Examples (Ultimate Step by Step Guide to Machine Learning Book 3)

4. The Book of Why: The New Science of Cause and Effect

5. Data Science from Scratch: First Principles with Python

6. Data Science on AWS: Implementing End-to-End

7. Naked Statistics: Stripping the Dread from the Data

  • W W Norton Company

8. Data Science for Beginners: 4 Books in 1 — Master the Basics of Python Programming and Learn The Art of Data Science with Real-World Applications to Artificial Intelligence and Machine Learning

9. Data Science Without Makeup: A Guidebook for End-Users

10. Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG

How To Choose The Best Data Science Books

Does the thought of finding a great Data Science Books stress you out? Has your mind been juggling between choices when it comes to buying Data Science Books in general, specifically regarding which model to choose?
If that’s the case, know that you’re not alone. Many people find it tough to buy the perfect Data Science Books for themselves. We understand the stress associated with the buying process!

Since you’re here, you are obviously curious about Data Science Books. You’ve been bombarded with information, so you need to find a reputable source with credible options before you make any decisions on which product would be best for your needs.

There are many sources that’ll provide you with that information- buying guides or ratings websites, word-of-mouth testimonials from friends or family members, online forums where users share their personal experiences, product reviews specifically found all over the internet and YouTube channels. Only thorough research will ensure that you get the right product.

But that’s not always easy, right? That's why we've taken time to compile a list of the best Data Science Books in today's market, on your behalf, so that there will be no more worries for you.

How did we come up with the list, you ask? How did we create this buying guide?

  • First, our algorithms collected as much information available about these products from trusted sources.
  • We employed both Artificial Intelligence and large data volume to validate all collected information.
  • Then our AI ranked them on their quality-to-price ratio using industry-standard criteria that let us pick the best Data Science Books currently on the market!
The products aren’t chosen randomly. We consider several criteria before assembling a list. Some of the criteria are discussed below-

  1. Brand Value: What happens when you go for a not-so-reputable brand just because the price seems cheap? Well, the chance of getting a short-lasting product goes higher. That’s because the renowned brands have a reputation to maintain, others don’t.


Top Data Science Books brands try to offer some unique features that make them stand out in the crowd. Thus hopefully, you’ll find one ideal product or another in our list.

  1. Features: You don’t need heaps of features, but useful ones. We look at the features that matter and choose the top Data Science Books based on that.
  2. Specifications: Numbers always help you measure the quality of a product in a quantitative way. We try to find products of higher specifications, but with the right balance.
  3. Customer Ratings: The hundreds of customers using the Data Science Books before you won’t say wrong, would they? Better ratings mean better service experienced by a good number of people.
  4. Customer Reviews: Like ratings, customer reviews give you actual and trustworthy information, coming from real-world consumers about the Data Science Books they used.
  5. Seller Rank: Now, this is interesting! You don’t just need a good Data Science Books, you need a product that is trendy and growing in sales. It serves two objectives. Firstly, the growing number of users indicates the product is good. Secondly, the manufacturers will hopefully provide better quality and after-sales service because of that growing number.
  6. Value For The Money: They say you get what you pay for. Cheap isn’t always good. But that doesn’t mean splashing tons of money on a flashy but underserving product is good either. We try to measure how much value for the money you can get from your Data Science Books before putting them on the list.
  7. Durability: Durability and reliability go hand to hand. A robust and durable Data Science Books will serve you for months and years to come.
  8. Availability: Products come and go, new products take the place of the old ones. Probably some new features were added, some necessary modifications were done. What’s the point of using a supposedly good Data Science Books if that’s no longer continued by the manufacturer? We try to feature products that are up-to-date and sold by at least one reliable seller, if not several.
  9. Negative Ratings: Yes, we take that into consideration too! When we pick the top rated Data Science Books on the market, the products that got mostly negative ratings get filtered and discarded.
These are the criteria we have chosen our Data Science Books on. Does our process stop there? Heck, no! The most important thing that you should know about us is, we're always updating our website to provide timely and relevant information.

Since reader satisfaction is our utmost priority, we have a final layer of filtration. And that is you, the reader! If you find any Data Science Books featured here Incorrect, irrelevant, not up to the mark, or simply outdated, please let us know. Your feedback is always welcome and we’ll try to promptly correct our list as per your reasonable suggestion.

Leave a Comment