Best books for data scientists: Data Science is a fascinating career role that attracts lakhs of people every year. Due to the level of opportunities and career growth it provides, people are swiftly changing their career options to become data scientists. However, data science is a vast domain with so much to learn.Â
It is also being said that learning never stops for a data scientist. They always have to keep themselves updated with the latest emerging technologies and practices to provide value to their organisations.
Why Choose Books for Learning Data Science?
Well, the main question that may be troubling many of you is why learn data science from books when we have plenty of resources and certification courses to learn online. The world is on the internet; everything we need is available on the internet. However, the internet as a whole cannot replace the essence of books and the value they provide. Check some of the reasons for choosing books for data scientists.
- Most of the data science books available online cover most of the major topics of data science, such as machine learning, data visualisation, statistics, programming languages, and more.Â
- Books present information in a structured manner, starting from a beginner level to an advanced level. Everything is properly combined in one place to help with step-by-step learning.
- Most of the time, books consist of content in depth providing explanations of various topics.
- Most of these best books for data scientists are written by data science experts.
- Books are portable and can be carried from one place to another. Also, we can easily mark important sections of content easily to visit at any other point in time.
Also Read: What is Basic Data Science? Introduction, Basic Concepts & Process
Top 8 Best Books for Data Scientists in 2024
There are plenty of data science books available from various sources. Check the list of 8 best books for data scientists this year.
1. Data Science from Scratch: First Principles with Python by Joel Grus
The book is rated best on Amazon and various other platforms. The book completely explains the ideas and principles behind the plenty of libraries, frameworks, modules, and toolkits available in data science. This book has been rated 4.5 stars on Amazon. The book can get you comfortable with mathematics, statistics, the core of data science, and other skills required of a data scientist.Â
| Best Books for Data Scientists 2024 | |
| Name of the book | Data Science from Scratch: First Principles with Python by Joel Grus |
| Author of the book | Joel Grus |
| Ratings | 4.5* on Amazon |
| Country of origin | India |
| Best Sellers Rank | #19 in Artificial Intelligence and #8395 in books |
2. Data Science for Dummies, 2nd Edition by Lillian Peirson
The book is available on Amazon in both audible and paperback formats. It is the best option for IT professionals and students to learn major areas of data science to explore the opportunities for this role. The book focuses more on business cases and covers big data, data science, and data engineering in brief.Â
| Best Books for Data Scientists 2024 | |
| Name of the book | Data Science for Dummies by Lillian Peirson |
| Author of the book | Lillian Peirson |
| Ratings | 4.4* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #8948 in audible books, #52 in engineering books |
3. Data Science for Beginners by Andrew Park
The book claims to consist of knowledge from four books in one. It covers major data science topics such as programming skills, data analysis, machine learning, and much more. The book’s latest publication is in 2020 and is covered in English. It also has a rating of 4.5 stars on Amazon.
| Best Books for Data Scientists 2024 | |
| Name of the book | Data Science for Beginners by Andrew Park |
| Author of the book | Andrew Park |
| Ratings | 4.5* on Amazon |
Also Read: High-Paying Certification Courses from Data Science to AI in 2024
4. R for Data Science: Import, Tidy, Transform, Visualise and Model Data by Hadley Wickham
This book will guide you on how to use the R programming language for turning raw and unstructured data into useful insights and decision-making. The book is suitable for candidates with no prior programming experience. The book is designed to help you learn R for data science as quickly as possible. It also helps you learn about importing, wrangling, exploring, and modelling data.
| Best Books for Data Scientists 2024 | |
| Name of the book | R for Data Science: Import, Tidy, Transform, Visualise and Model Data by Hadley Wickham |
| Author of the book | Hadley Wickham |
| Ratings | 4.7* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #139,427 In books, #249 in artificial intelligence |
5. Introduction Data Science: Big Data, Machine Learning, and More using Python Tools by Davy Cielen
The book introduces you to important data science concepts and helps you learn the fundamental tasks of becoming a data scientist. The book covers topics such as data visualisation, NoSQL, python libraries, data analysis, etc. Learn how to use Python to uncover different aspects of data science.
| Best Books for Data Scientists 2024 | |
| Name of the book | Introduction Data Science: Big Data, Machine Learning, and More using Python Tools by Davy Cielen |
| Author of the book | Davy Cielen |
| Ratings | 4.3* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #79 in Databases and Big data, #183 in artificial intelligence |
Also Read: Machine Learning Project Ideas for 2024
6. Practical Statistics for Data Scientists: 50+ Essentials using R and Python by Peter Bruce
The book covers statistical methods as a key part of data science. This second edition of the book provides comprehensive examples in Python to provide practical guidance for applying statistical methods to data science. It also teaches you how to avoid their misuse and gives best advice on how to use them properly. The book will help you learn various aspects of statistical methods for data science.Â
| Best Books for Data Scientists 2024 | |
| Name of the book | Practical Statistics for Data Scientists: 50+ Essentials using R and Python by Peter Bruce |
| Author of the book | Peter Bruce |
| Ratings | 4.5* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #6807 in Books and #3 in statistics |
7. Build a Career in Data Science: 50 Essential Exercises by Emily Robinson and Jacquline Nolis
The book provides you with essential insights before starting your career as a data scientist. It teaches you how to land your first job as a data scientist and then how to keep promoting yourself to a managerial position.Â
The book provides various soft skills important for a rewarding career in data science. Some of the major modules of books are building a portfolio, getting skills, finding jobs, resume building, interview preparation, and much more.
| Best Books for Data Scientists 2024 | |
| Name of the book | Build a Career in Data Science: 50 Essential Exercises by Emily Robinson and Jacquline Nolis |
| Author of the book | Emily Robinson and Jacquline Nolis |
| Ratings | 4.6* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #452,419 in Books |
8. Introduction to Machine Learning with Python: A Guide for Data Scientists by Andres Muller
This book teaches you how to use Python to build your own machine-learning models. With so much data available around us, there are no limitations on what we can create.Â
In this book, you will learn the steps required for creating a working machine learning application with Python and Scikit Learn about libraries, data visualisation, model evaluation methods, concepts of pipelines, etc.
| Best Books for Data Scientists 2024 | |
| Name of the book | Introduction to Machine Learning with Python: A Guide for Data Scientists by Andres Muller |
| Author of the book | Andres Muller |
| Ratings | 4.4* on Amazon |
| Language | English |
| Best Sellers Rank (if any) | #9,950 in Books, #18 in Programming languages |
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Best Books for Data Scientists FAQs
Is data science very difficult?
Data Science is a vast domain that requires a strong knowledge of mathematics, programming, and computer science. However, if you learn with consistency and dedication and consume the right resources, then learning data science is not very difficult.
Is data science a good career option?
Data science is one of the most trending career choices worldwide. It offers career growth opportunities, high salaries, and job security.
Is data science dead in 10 years?
Data Science is a dynamic domain with so many emerging technologies that affect its workings; it is only changing. In the coming time, working with data science can be different but it is not going to end. People with appropriate skills will always be in demand.
