10 Best Data Science Books for Beginners in 2023

Data science is one of the most rapidly growing fields today, as businesses rely on data-driven insights for better decision-making. It is the buzzword in the technological world, giving rise to many tech concepts such as Artificial Intelligence, the Internet of Things, Deep Learning, and many more.

With the demand for data growing, data scientists are crucial for every company. It is, as far, one of the highest-paid sectors too. Here you go if you want to enhance your skill and learn more about data science! These 10 best data science books can help you understand the concepts better.

Also Read: 10 Best Machine Learning Books for Beginners in 2023

Top 10 Data Science Books for Beginners

1. Data Science for Dummies by Lillian Pierson

Last update on 2023-05-27 / Images from Amazon Product Advertising API

Data Science for Dummies by Lilian Pierson comes in first in the best data science books to read. It serves as a foundation pillar for data science, talking about concepts ranging from basic to advanced levels.

It covers integrating data science, data engineering, and big data for effective data management. If you are a beginner and confused about where to start, you can do it right from here.

Also Read: 10 Best Programming Books for Beginners

2. Practical Statistics for Data Scientists by Peter Bruce and Andrew Bruce

Since statistical methods are essential to data science, Practical Statistics for Data Scientists is a great book to start your learning. It overviews data science and its concepts, such as sampling, randomization, distribution, and other essential concepts.

The exciting part is that it also contains surveys of Machine Learning models with easy-to-understand explanations. It is one of the best data science books recommended for aspiring data scientists.

Also Read: 10 Best Programming Books You Need to Read in 2023

3. Python Data Science Handbook by Jake VanderPlas

This book is great for those looking to learn the basics of Python and who are ready to explore Python libraries. It is a handbook that covers all the standard Python libraries such as Pandas, Numpy, Scikit-Learn, Matplotlib, IPython, Jupyter, and others. Even though it sounds interesting, it could be difficult for a novice in data science. But, this could be best suited for the programmers of machine learning.

4. Data Science from Scratch: First Principles with Python by Joel Gurus

It is one of the top data science books for comprehensive readers passionate about Statistics and Mathematics. The book understandably introduces many concepts explaining from scratch. This is for you if you are also interested in learning about hacking skills.

5. Storytelling with Data by Cole Nussbaumer Knaflic

If you love data and stories, this book is precisely it. It helps you learn data visualization in storytelling patterns along with extensive graphics. Storytelling with Data is an exciting book with easy-to-understand concepts for avid readers.

Reading through this book helps you build better observation and visualization skills. You will discover and realize the power of storytelling to make data a pivotal point to learning better.

Also Read: 10 Best Books To Learn Python For Beginners And Experts

6. R for Data Science by Hardley Wickham

R for Data Science by Hardley Wickham is an excellent book that can cater to both beginners and the advanced. It all starts with introducing data science and its concepts to beginners and then takes you to the advanced level of concepts.

The book emphasizes concepts and the cause behind their implementation for a better understanding. The exciting part about this book is that it also covers practical business concepts which can be very useful in a real-world scenario.

7. Data Science and Big Data Analytics

This book gets a little deeper into data science and introduces concepts and the importance of big data analytics. Data analytics is explained easily with the help of case studies. The book introduces you to concepts such as clustering, regression, association rules, and many more. Hence, it will become one of the best data science books in 2023.

8. Pattern Recognition and Machine Learning by Christopher Bishop

Last update on 2023-05-27 / Images from Amazon Product Advertising API

Pattern Recognition and Machine Learning are one of the must-read best data science books for all data science aspirants. The book gives you a great understanding of data science concepts with many images and graphs. It is a great starting point to start your data science career with this book.

9. Head First Statistics by Dawn Griffiths

This is it if you want to learn data science and statistics playfully. The book covers many concepts, including the mean, median, mode, standard deviation, etc. This is a great book to kickstart your data science journey.

10. Doing Data Science by Cathy O’Neil

This book gives a great introduction to data science through reliable methods, models, and algorithms. It takes you through the topics such as logistic regression, algorithms, statistical inference, data engineering, and data visualization. Learners can pin this book to understand data science concepts from scratch.

Summary

These are the 10 top data science books for beginners to start with. Pick one and start your data science journey now!