Are you a beginner looking for data analytics books but have completely no hint on where to start finding or lost in the sea of confusion with already a lot of options available for you online. Sometimes books deliver the kind of knowledge online tutorials and sessions cannot promise. Books are helpful in providing you with key ideas and good concepts.
These books are very helpful in staying up to date with the trends, patterns and latest techs and frameworks in the field of data analytics. In this blog. We handpicked top 12 of the best data analytics books for you to read and start your exciting journey in the world of data and analytics.
Why are Books Important In Data Analytics Learning?
Data analytics books are an important or most influential way of learning data analytics methods. With books being one of the most important sources of knowledge when preparing for a career in any field. Books are one of the best methods of getting a deeper level of knowledge in every topic when compared to online tutorials available everywhere.
Books are an excellent mode of knowledge gaining with every information right in our hand, easy to mark and store. Online resources and learning materials can easily get lost but information in books is safe and with us. Readers will find reading and learning from books quite interesting as compared to others. Also books are generally written by industry experts and researchers are trusted to provide quality learning and exposure in any field. We have handpicked some of the best data analytics books for beginners to help them prepare for their bright career in data analytics.
12 Data Analytics Books For You To Read In 2025
Data Analytics books are one of the most frequent ways of learning key ideas, terms and frameworks related to the field. Let us know about the top 12 data analytics books below.
1. Data Analytics Made Accessible By Anil Maheswari
If you are a beginner in data analytics then this book can help you make a good start in getting familiar with the basics concepts and frameworks of data analytics. A lot of examples are covered in this book to help you understand all concepts in a better meaningful manner.
This book is written by Anil Maheswari available in Kindle Edition on Amazon and paperback also. This book covers every latest information, concepts of the growing field of data science and analytics. The language in the book is easy to understand covered with examples and real world case studies.
Major Highlights
- This book is covered in simple and easy to read English language.
- This book by Anil Maheswari is available on popular platforms like Amazon, Flipkart, and more.
- This book has a rating of 4.3 ⭐ out of 5 from over 320 ratings online on Amazon.
- It covers important topics from data analytics like Business intelligence, real world data analytics, data analytics lifecycle, regression models, cluster analysis, data mining, data warehousing, and much more.
Topics Covered
- Data modeling Primer
- Data warehousing and data mining
- Decision trees, regression models and Cluster analysis
- Data analytics lifecycle
- Instance of data analysis in real world
- Case studies to show impact of data analysis in different major industries
- Review based on your knowledge and understanding
2. Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance
This data analytic book was written by Charles Russell to introduce students to how programming and software development are related to data. You will learn how to use Python programming tools to solve data related problems beyond your imagination of a simple sheet.
This book will guide you on how you can write programs in minutes. You will learn how to manipulate and connect to a database using a program easily. You can get free digital downloadable copies of this book at python learn website.
Major Highlights
- This book is available on Amazon, Flipkart and other online platforms.
- This book has a rating of 4.5 ⭐ out of 5 from over 3468 ratings online on Amazon.
- You can get this book in Kindle edition or Paperback edition based on your needs
- It contains every important concept related to the latest Python 3 and its connection with data analysis.
Topics Covered
- Introduction to Programming
- Installing and using Python
- Variables and Expression
- Conditional Execution
- Functions
- Loops and Iterations
- Strings
- Files
- Lists
- Dictionaries
- Tuples
- Databases and SQL
- Data visualization
3. Data Science for Business: What You Need to Know About Data Mining and Data Analytic Thinking
If you want to learn how decision making and informed decision making is important in businesses then this data analytics book is the best to start with. You can lay a strong foundation and understand the importance of data in decision making for businesses.
This book will lay an introduction to how data science and businesses work simultaneously to achieve common goal. You will get insight on how companies use these data, such as expected sales, and more.
Major Highlights
- This book is written by Foster Provost, Tom Fawcett.
- It is available on Amazon and other popular online platforms
- This book has an online rating of 4.5 ⭐ out of 5 from 1361 ratings on Amazon.
- You will get an insight of the real world business problems and learn how to communicate with stakeholders and data scientists
- Learn general concepts for extracting information from data
- Apply data science principles and techniques during interviews for data science and analytics candidates.
Topics Covered
- Machine learning algorithms like Decision trees, regression analysis, clustering, and more.
- Data science vs business decision making
- Predictive modeling: Correlation to supervised segmentation
- Decision analytic thinking
- Real world case studies based on data analytics
4. Storytelling with Data: A Data Visualization Guide for Business Professionals By Cole Nussbaumer Knaflic
This data analytics book covers more about visualization and representation of the information retrieved from data. You will learn to extract actionable insights from the data present on the sheet after reading this book.
This book focuses on communication of important insights extracted from data. You will get to know about crucial tools you can use during analysis work.
Major Highlights
- It is considered as one of the best books for understanding data visualisation in the real world.
- This book has an online rating of 4.6 ⭐ out of 5 from 4587 ratings on Amazon.
- This book is available in English language
- Filled with real world examples based on the best way of communicating with data to find information.
Topics Covered
- Data visualisation based on situation
- Best practices for creating data visualization
- Create presentations using interactive visuals and depict story
- Psychology behind how to interpret data
- Visual designer approach
- Real world examples of data storytelling based on business needs.
5. Big Data: A Revolution That Will Transform How We, Live, Work and Think By Kenneth Cukier and Viktor Mayer-Schonberger
Big data is a very important part of data analytics and this topic is covered in this book and considered as one of the finest Data analytics books for understanding about big data in analysis projects.
Once you start reading you will understand the impact of data analytics and its impact on businesses and prepare you for the fact that big data has a very important role to play in the current technological era. This book focus on the impact that big data can make either for better or worse.
Major Highlights
- This book is covered by Viktor Mayer Schonberger and Kenneth Cukier, one of the finest writers.
- This book has a rating of 4.2 ⭐ out of 5 with over 1,349 ratings online on Amazon.
- You will learn about Big data and its importance in making crucial business decisions from a vast collection of information.
- Both writers explained the benefits and concepts of big data and its hazards in a proper and detailed manner.
Topics Covered
- Sampling Obsolescence of sampling
- Shift in industry to collect data
- Increased measurement of error in return data
- Move away from the age old search for casualty
- Learn ways to “datafication” of human life
6. The Hundred Page Machine Learning Book By Andriy Burkov
This book is considered as one of the best machine learning and data analytics books covering a complete overview of machine learning for beginners who are completely new with the concepts of this technology.
This is a simple and short book with over 140 pages total which covers all important information related to machine learning such as cluster analysis, supervised learning, unsupervised learning, neural networks and all other concepts of machine learning.
Major Highlights
- This book has a great worldwide presence with over 11 language publications in major universities.
- This book has a rating of 4.2 ⭐ out of 5 with over 247 ratings online on Amazon.
- This book builds you for a strong basic foundation in machine learning which you can integrate in your analysis projects.
- This book is covered in the English Language.
Topics Covered
- Learn all about modern machine learning and its models.
- Explanation of algorithms and mathematical concepts
- Practical techniques, debuggings, evaluating models
- Advanced topics with recommender systems, metric learning, ensembles, and more.
- Neural Networks and Deep learning
- Machine learning algorithms
7. Naked Statistics: Stripping the Dread from Data By Charles Wheelan
This data analytics book delves into the details of statistics where you can refresh your understanding of statistics just like it used to be. This book is considered among one of the best data analytics books especially for someone who is completely new in this field of analytics.
You will learn about important topics such as statistical analysis, regression, correlation, inference, and other interesting ways. These books help learners understand concepts with practical applications with real world examples.
Major Highlights
- This book is considered among one of the best data analytics books.
- This book has a rating of over 4.5 ⭐ out of 5 from 3000+ ratings on Amazon online.
- This book is covered in English Language
- It focuses on explaining concepts of statistics and mathematics along with practical real world examples.
- Learn some of the key concepts in analytics such as correlation, inference, regression analysis, and more.
Topics Covered
- Descriptive statistics and analysis
- Interpreting data accurately while avoiding errors
- Correlation, probability, inference and regression analysis
- Statistics in the real world in different categories such as business, sports, politics, and more.
- Core statistical concepts with mathematical touch along with numbers and terms.
8. Python for Data Analysis: Data Wrangling with Pandas, NumPy, Jupyter By McKinney
In this data analytics book you will learn how to perform data analysis with Python and its advanced libraries. This book explains the concept of OOPs while providing hands on knowledge along with theoretical emphasis.
Everything is explained based on how Python is one of the most suitable languages for analysis and its important libraries such as Scikit Learn, NumPy, Pandas, and more. You will learn about important tools and how to use them in extracting crucial information from heap of data.
Major Highlights
- This book covers Python libraries along with its importance in data analysis
- This book has a rating of over 4.6 ⭐ out of 5 from 1787 ratings on Amazon online.
- This book is completely updated for latest Python 3.6 edition
- You will learn about the latest versions of pandas, NumPy, iPython, Jupyter in this book
Topics Covered
- Important Python libraries like NumPy, Pandas, Scikit-learn and more
- Learn data structures in Python along with file manipulation
- Learn how to use Python for analysing, cleaning, manipulating data sets.
- Learn data visualization and plotting
- Data aggregation with group operations
- Practical hands on example on how to use Python in Real world analysis
9. Learning R: A Step By Step Function Guide to Data Analysis By Richard Cotton
This data analytics book is a way to learn analysis using the R programming language. The author covered the book in easy to understandable language where things will keep you interested and engaged in learning.
This book will get you an overview around R programming, libraries, tools, data structures and more. The last part will cover the data part along with the results. You will learn about various methodologies of data analysis.
Major Highlights
- This book covers data analysis with R programming language for beginners
- This book has a rating of over 4.4 ⭐ out of 5 from 179 ratings on Amazon online.
- You will learn how to perform data analysis using R language.
- You can learn and understand easily even if you have little or no experience in programming, data analysis and software development.
Topics Covered
- Learn simple R programming and its use cases
- Matrices, vectors and Arrays
- Code execution with conditions
- R add on packages
- Clean data imported from various pathways
- Understand data through visualization
- Case studies and practical examples
10. Weapons of Mass Destructions: How Big data Increases Inequality Threatens Democracy by Cathy O’Neil
This data analysis book covers everything related to big data where you will learn the benefits as well as problems related to using big data. You will get a better understanding of the darker side of data which can be exploited in harmful ways. This book will help you learn the importance of utilising data properly and in a judicial manner.
Major Highlights
- This book highlights the importance of big data and its consequences with non judicial uses.
- This book has a rating of over 4.4 ⭐ out of 5 from 4752 ratings on Amazon online.
- You can get the paperback edition, Kindle edition, hardcover or audiobook format for this book on Amazon.
- Learn the importance of regulating the use of these algorithms and become responsible tech savvy.
Topics Covered
- Big data and uses
- Pros & Cons of Big data uses
- Regulations and guidelines
- Data analysis & Tools
11. Data analytics and Decision Support for Cybersecurity: Trends, Methodologies, Applications
This is one of the data analytics books that will delve you into the importance of decision making, data management, analytics important for cybersecurity frameworks. The recent development in technologies and data science methods need strategic decision making at various levels.
You will learn a lot about cybersecurity, big data, visualisation, collusion detection, malwares, and more throughout this book. It covers all the concepts in a simple and easy to grasp manner suitable for beginners.
Major Highlights
- This book covers the importance of data analytics in implementing Cybersecurity
- This book has a rating of over 5.0 ⭐ out of 5 from 100 ratings on Amazon online.
- This book will provide you with important knowledge on intrusion detection, insider threats, collusion detection, run time malware detection, E-learning online examination and more.
- The book consists of 9 chapters written by leading international researchers in Cybersecurity and analytics.
Topics Covered
- Intrusion detection
- Insider threats
- Collusion detection
- Run-Time malware detection
- E-learning online examinations
- Cybersecurity Noisy data removal
- Secure smart power systems
- Security visualization and monitoring
12. Data Analysis Essentials You Always Wanted to Know By Vibrant Publishers and Dr. Bianca Szasz
This data analytics book will help you understand data analytics, its types, process, methodologies. You will learn based on a variety of real world case studies and actionable insights from data. If you want to clear your basics of data analysis then this book is all you need.
Major Highlights
- This book covers every basics of data analysis along with frameworks, real world case studies and more.
- This book has a rating of over 4.4 ⭐ out of 5 from 100 ratings on Amazon online.
- You can expand your knowledge about data analytics based on application based learning and real world case studies.
- Best for anyone who is switching careers into data analytics to make a strong foundation in analytics in easy understandable language.
Topics Covered
- Basics of data analytics
- Types of data analytics
- Important frameworks and tools
- Python programming and libraries
- Data analytics methodologies
Also Read:
- What Are Micro Frontends? Definition, Uses, and Architecture Explained: A 9 Steps Effective Guide
- What is Exploratory Data Analysis?: Complete Explanation For Beginners
- Time Series Forecasting & Master with These 11 Steps
- What Are Some Common Statistical Measures In Data Analytics?
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Data Analytics Books FAQs
Q1. Are data analytics books worth it?
Ans: Data analytics books are the best and most reliable way of clearing key concepts, frameworks, basics and mastering frameworks with clear and easy explanations. It also provides many examples related to each concept for better understanding.
Q2. Which is the best data analytics book in 2025?
Ans: Data analytics made accessible, Python for Everybody, Data Science for Business, Storytelling with Data, and more are some of the best data analytics to be considered for reading in 2025.
Q3. What makes a data analytics book better than others?
Ans: A data analytics book consisting of all major concepts with projects, real life examples, case studies along with easy to understand explanations and writing can be chosen over the others books available online.
Q4. Are data analytics books available online?
Ans: Yes, many authors provide their publications online from where we can directly purchase the course or read it online on our device. Some of the popular platforms like Amazon, Flipkart, and more provide these books.
Q5. Can I self study data analytics?
Ans: You can definitely learn data analytics with self studies. All you need is proper discipline, learning and guidance. Keep covering the concepts along with practical exposure to master data analytics and its frameworks.
