Top 7 Books Every Data Science Aspirants Should Read in 2021| Learnbay

 Online tutorials, online classes have already replaced the 80% of learner’s interests in books. Still, we can’t deny that at least 20% of interest in books is alive within the learners. Actually, while learning, at some point, we need to depend on books. Yes, most of our preferences remain eBooks. But no matter if it’s an eBook or a hard copy, the thing is we need it.

With the emerging craze of data science career transition, aspirants are running against several online courses and tutorials, but to become a truly eligible data scientist, you need to dive deep into the subjects.

But lots of books on data science, artificial intelligence, machine learning, and deep learning are available on the market. It’s not possible to read each of those!!

If you are also getting confused about the same, then read this blog. I have summarized the list of must-read data science best books that will help you to master data science and grab the best-paid data science job of 2021–22 with exceptional abilities.

So, let’s know about those books.

1. Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Second Edition, by Peter Bruce, Andrew Bruce, Peter Gedeck- Second Edition (June 15, 2020)

Although aspirants become crazy about programming and tools, in reality, statistical and mathematical proficiency is the key to a successful data science career. Even if you are adequately knowledgeable about statistics, still the approaches are the same from the perspective of data science, a bit different. This book will help you to learn about the method of applying your statistical skills with the help of python and R.

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Reason to read this book:

• To gain a more profound idea about incorporating programming languages, like R and python, with statistical concepts.
• To master several classifying techniques for the categorization of available data records.
• The methods of reducing bias to land with a high-quality data set through random sampling.
• This second edition of this book has been updated with a range of hands-on examples for the statistical application of python.
• You can learn several tips and tricks about anomaly detection using different data regression techniques.
• This will help you learn unsupervised machine learning models and their statistical bases.

Price of the book:

Hardcopy: 1475 INR on Amazon

Kindle edition: 20847.08 INR

2.Naked Statistics: Stripping the Dread from the Data, by Charles Wheelan

This is one of the New York Times bestseller books in data science. This book covers almost every corner of statistical data analysis and interpretation that you will need throughout your data science career.

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Reason to read these books:

• While it comes to the learning of statistical concepts from the foundation level, it might be a daunting task. But the approach of the author is quite unique in this book so that you will learn while having fun.
• It covers up central limit theorem, polling, and regression from bottom to end but with the simplest possible explanation.
• This book teaches you not only the concept but also makes you aware of the most common mistakes that most of the aspirants make while applying the regression techniques in real data science and machine learning problems.
• In addition, this book offers the opportunity of learning 13 additional program evaluation techniques with unique tricks and tips.

Price of the book:

• Hardcopy: 1120 INR
• Kindle: 519 INR

Other than the hardcopy and Kindle edition, you can also opt for an audio version of this book. In case you have an audible trial subscription, then you can now listen to this book for free.

3.The Art of Statistics: Learning from Data, by David Spiegelhalter (February 27, 2020)

David Spiegelhalter is a renowned statistician. This book has gained unexceptional popularity across the field of data science and ML because it provides the opportunity of learning end-to-end techniques for drawing insight from raw data.

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Reason to read this book:

• You can learn complex to complex AI algorithms in the simplest step-by-step manner.
• It clear all the basic concepts of ML and AI algorithms, so you can reinforce those to make your expecting variation according to your project needs. In a word, this book helps you to play with algorithms.
• This book offers more than a tool-kit approach, in-details concept-based learning but at an affordable cost compared to other available books with similar features.

Price of the book:

• Hardcopy: 476 INR.
• Kindle: 289 INR4.

4. Data Science for Beginners: 4 Books in 1, by Andrew Park (November 10, 2020)

At present, this book can be considered as the one-stop solution for data science career transition. It’s a complete package covering all the data science modules starting from programming to data analysis to machine learning algorithms.

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Reason to read this book:

• This book is best for IT professionals seeking a successful career transition to the data science field by 2021–22.
• This book is more dedicated to python programming and coding along with their proficient implementation through statistics and machine learning algorithms.
• You can learn python programming from scratch. So, this book becomes the ultimate solution for non-programming data science beginners too.
• It offers the scopes of playing with complex machine learning algorithms with a range of practice problems and solved examples.
• Not only for beginners and moderate level data science aspirants, but this book can also be a real companion to managerial and leadership level aspirants too.

Price of the book:

Hardcopy: Approx. 3212 INR.

Kindle: 722 INR

A free audiobook version is also available in case you are eligible for an amazon audible trial.

5, A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills, by Jay Wengrow

Once you step into the algorithm learning module, this book can be your best companion. It includes thousands of concepts and practical experience examples of data structure and ML algorithms.

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Reason to read this book:

• As this book explains every data modeling and structuring concept with a range of hands-on examples, so you will grain ample scopes for practical programming knowledge.
• It will help you with learning unique data visualization techniques and all the common to unique ML algorithms like regression three, K-value, KNN, Random forest, etc.
• You can learn about advanced topics like ‘programming optimization,’ dynamic programming, etc.

Price of the book:

Kindle edition is available at 2625 INR, while hardcopy is available at 3328 INR on Amazon. Other than that, you can buy its eBook version at The Pragmatic Bookshelf.

6.Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking 1st Edition, by Tom Fawcett

This book is a must-read for anyone who wants to make a data science career in Business Intelligence (BI). Yes, this book is a complete guide to understand the scopes of application of AI in BI.

Reason to read this book:

• It helps you gather the knowledge for choosing the best-fit data science tools and techniques as per your organization’s needs.
• It helps in understanding the concept as well as the practical application of AI in order to get data-driven and highly insightful business decisions.
• Helps in learning the tips and tricks for handling data security issues with AI tools and ML algorithms
• The best advantage of this book is you will gather knowledge about interviewing data science job candidates with the help of the data science strategy application itself.

Price of the book:

The audio version is available at zero cost with a kindle audiobook trial subscription. Kindle edition is available at 761 INR, and the hard copy is available at 2688 INR.

7.Text Mining with R: A Tidy Approach 1st Edition by Julia Silge and David Robinson

At present data, scientists have to work with text-heavy data. Although NLP is getting advanced with ongoing time, still wrapping data with heavy text becomes a daunting and time-consuming task. The solution here is to be proficient with text mining. This book by renowned data science authors Julia Silge and David Robinson provides a step-by-step guide to learn text mining with ‘tidy text techniques.

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Reason to read this book:

• To learn the similarities and difference between n-gram and correlations (terms that used for textual data conversions for data analysis)
• End-to-end learning about tidy text format
• Three very useful case studies: NASA metadata mining, analysis of Usenet text, and comparison of the Twitter archive.
• R programming knowledge is an essential skill set for managerial and leadership levels, so this book is a magical box for experienced aspirants with 7plus years of working experience wanting to switch to a data science career.

Price of the book:

Kindle edition is available at approx. 1409 INR, and the hard copy is available at 1613 INR. Other than these, you can access the free eBook version at tidytextmining.com.

So, these are the top 7 books in which your data science skill of 2021 remains incomplete. But is it enough to read these books for grabbing a lucrative data scientist/ analytics job? Obviously not.

Then, What is the next step to your data science career transition?

While coming to career transition then appropriate guidance is the very first thing that decides the way for reaching your career goal. Hence, apart from self-learning, you should join a certification program that offers you ample scopes for earning practical skill credibility.

We at Learnbay offer end-to-end learning support to working professionals who want to transact their career toward the endless possibilities of artificial intelligence and machine learning intelligence.

According to your level of experience, you can choose any of the following three data science courses:

Data Science & AI Certification Program | Foundation Program by Learnbay

AI and ML Certification | Become AI Expert In Product based MNCs

Data Science & AI Certification For Managers and Leaders

Why choose Learnbay Data Science and AI courses over other available courses?

As mentioned above, we offer end-to-end support in the following way.

• Live interactive online classes. (Watch sample class recordings here)
• Special support to non-programmers
• Interview preparation and mock test.
• Dedicated placement support
• 2 to 3 capstone and 15 plus real-time industrial projects.
• Blended learning program (Read the blog about blended learning program of Learnbay)
• Affordable course fee with easy EMI option.
• Weekend/ weekdays classes as per your convenience.

To enroll in our courses, submit your resume for telephonic counseling here.