10 Best Data Analytics Books

Today, anyone who masters data will exploit information and succeed in many different fields. You have to learn about data analysis if you want to transform information into documents.

Are you a beginner in this field? Want to become an expert? Remember to update your knowledge with the ten books below.

These books in this article will promise to be a reliable companion whether you’re a beginner or at an intermediate or advanced level.

Here are 10 books that every data analyst needs to own. Each book revolves around a specific topic but will undoubtedly provide the exciting knowledge you are always looking for.

1. Data Analytics Made Accessible

Data Analytics Made Accessible


  • Language: English.
  • Edition: Kindle.
  • File size: ‎ 20619 KB
  • Print length: ‎ 443 pages.

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Reason To Buy

  • Update knowledge regularly.
  • Easy-to-understand examples.
  • Provide many challenging exercises.
  • Suitable for both beginners as well as experts


Data analytics is one of the fastest-growing fields today. New knowledge related to this field is added daily. And Data Analytics Made Accessible will be the book you can use to quickly update information related to data science.

This book, in a format suitable for Kindle readers, is constantly updated with information. Concrete examples always accompany its knowledge.

I especially love the latest 2023 revised edition of this book. In addition to the everyday items, it also focuses on guiding projects on sample data mining and many other essential areas.

2. Business unIntelligence

Business unIntelligence: Insight and Innovation beyond Analytics and Big Data


  • Language: English.
  • Paperback: 300 pages.
  • Item Weight: 884 g.
  • Dimensions: 19.05 x 2.51 x 23.5 cm.

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Reason To Buy

  • Detailed instructions.
  • Creative, inspirational content.
  • Easy to understand even for beginners
  • Refers to many new models that businesses are using.
  • Suitable for business based on artificial intelligence.


Business based on artificial intelligence is a challenging field. Only those who master data from specialized relational and transactional systems can succeed in business intelligence.

If you are interested in applying big data and data analysis to business based on artificial intelligence BI, Business unIntelligence: Insight & Innovation is the book you should not miss.

The first chapters deal with the fact that entrepreneurs must combine rational thinking and intuition to succeed.

After presenting the new-age business philosophy, this book provides models that businesses can apply. It also teaches you how to use the information triad, turning information into a powerful tool to influence business processes.

3. Too Big to Ignore

Too Big to Ignore: The Business Case for Big Data


  • Language: English.
  • Paperback: 256 pages.
  • Item Weight: 13.1 ounces.
  • Dimensions: 6 x 0.58 x 9 inches.

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Reason To Buy

  • Fascinating opening.
  • Many practical examples.
  • All information is with high reliability.
  • Detailed analysis and easy to understand.
  • For data analysts, leaders, and salespeople.


In the first pages, I was quickly convinced by Too Big to Ignore: The Business Case for Big Data. Phil Simon told the story involving the residents of Boston, Massachusetts, and the decision from the ruling elite. The author asked why the current government organizations can make the most accurate decisions.

Phil Simon’s answer is quite convincing to me. Big data is a tool that helps the government to observe and make highly accurate predictions.

After a rather engaging introduction, the author continued to lead me to explore the world of big data. Through high-quality research, real-life examples, and analysis, Simon guides readers to understand and leverage big data.

For me, it’s more than just the book that data analysts need to read. It is also a bedside book for anyone who is leading, operating, or operating in the business.

4. Predictive Analytics

Predictive Analytics: The Power to Predict Who Wil Click, Buy, Lie or Die


  • Language: English
  • Paperback: 368 pages.
  • Item Weight: 1.08 pounds.
  • Dimensions: 5.8 x 1.1 x 8.9 inches.

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Reason To Buy

  • Cover a wide range of fields
  • Provide lots of interesting information
  • Many case studies and clear explanations.
  • Have a lot of high application knowledge
  • Mention new knowledge in a reasonably detailed manner.


Today, institutional companies are all interested in predictive analytics. This tool can help the company minimize risks and quickly achieve the set goals.

The Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die is a fascinating book if you want to learn about this highly influential field.

It is written by these experts that have covered quite a detailed how predictive analytics works. I was also quite surprised by the insights it presented about predictive analytics applications. Daily, I have done this operation many times and need to learn how to optimize performance.

This fascinating book helped me overcome those mistakes. The author’s case studies and instructions have greatly helped me apply project analysis to life.

5. The Accidental Analyst

The Accidental Analyst: Show Your Data Who’s Boss


  • Language: English.
  • Paperback: 300 pages.
  • Item Weight: 1.33 pounds.
  • Dimensions: 8 x 0.63 x 10 inches.

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Reason To Buy

  • Many valuable tips and tricks.
  • Include many inspirational stories
  • Suitable for inexperienced data analysis.
  • It does not contain many confusing concepts
  • Help people without background knowledge quickly master data.


Do you specialize in business and have to present results and solutions to your superiors and colleagues? In this case, you should learn data analysis techniques to show the answers to your business questions and make crucial decisions.

To quickly master data without being an expert in the field, try the information in The Accidental Analyst: Show Your Data Who’s Boss.

As the name suggests, this book’s target audience is casual analysts who have yet to develop a career as data analysts. With the target audience as above, the book only mentions a few confusing concepts. Instead, it includes many numbers, illustrative examples, and creative data-handling ideas.

I also appreciate the inspirational content in the book. With the author’s presentation, any beginner can grasp the tips and tricks and master at least one data analysis software.

6. The Data Detective

The Data Detective: Ten Easy Rules to Make Sense of Statistics


  • Language: English.
  • Paperback: 336 pages.
  • Item Weight: 1.2 pounds.
  • Dimensions: 6.2 x 1.1 x 9.3 inches.

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Reason To Buy

  • Bring a new perspective.
  • Easy to understand attraction.
  • Refer to the subject of psychology
  • Provide knowledge about statistics.
  • Compelling content to help readers change prejudices.


After reading The Data Detective: Ten Easy Rules to Make Sense of Statistics, I was overwhelmed by the author’s big idea.

Unlike the other books I have recommended, The Data Detective offers a new, insightful perspective on data and its relation to human behavior.

This book also provides knowledge related to statistics and data analysis. It also deals with psychology, a rather complex field that significantly influences work and other aspects of life.

My favorite part of this book is the 10 strategies with its stats. The author has presented this section most engagingly and understandably.

7. Data Mesh

Data Mesh: Delivering Data-Driven Value at Scale


  • Language: English.
  • Paperback: 384 pages.
  • Item Weight: 1.35 pounds.
  • Dimensions: 6.75 x 1 x 9 inches.

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Reason To Buy

  • Provide basic and advanced data grids
  • Tailored to technical leaders.
  • Learning is highly applicable.
  • Detailed information sourcing guide.
  • Cover tips to help manage analytics data at scale.


As the name suggests, this book mainly revolves around data grids. But in the book, Zhamak Dehghani needed to introduce data grids in the usual way. Instead, the author offers a relatively broad approach.

When I consulted the book, I found much information about sourcing and managing analytical data at scale. I always encourage engineering leaders and architects to read this book. The knowledge of Data Mesh can completely change the way of working and managing more efficiently.

8. Data Means Business

Data Means Business: Level up your organisation to adapt, evolve and scale in an ever-changing world


  • Language: English.
  • Paperback: 272 pages.
  • Item Weight: 11.4 ounces.
  • Dimensions: 5.5 x 0.62 x 8.5 inches.

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Reason To Buy

  • High applicability.
  • Very suitable for leaders.
  • Full detailed instructions.
  • Practical examples in business.
  • Stimulate a change in mindset


New-age leaders are to bring a data-driven culture into their organizations. If you are also facing the above difficulties, try to find the answer in Data Means Business: Level up your organization.

The Data Means Business book is a complete guide. Its content is closely related to data analysis and highly applicable in business.

This book also stimulates growth and innovation in leaders’ thinking. After completing the course, I successfully created data value and scaled up.

It also taught me many other engaging lessons. I realized I needed to leverage startup strategies to get a better starting point, use data management methodologies, and develop data products.

9. Radically Human

Radically Human: How New Technology Is Transforming Business and Shaping Our Future


  • Language: English.
  • Paperback: 304 pages.
  • Item Weight: 1.15 pounds.
  • Dimensions: 6.5 x 1 x 9.5 inches.

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Reason To Buy

  • Change the mind of the reader.
  • General coordination guide
  • Inspirational writing style.
  • Support problem-solving for beginners.


I am incredibly impressed with the man and machine to maximize profits mentioned in Radically Human.

This idea is difficult to implement. Yet, leading organizations have been using this system’s approach for quite some time. This book is a valuable guide to collaborating effectively to get the job done quickly.

Radially Human is one of my favorite books because of its inspirational chapters. It also has a significant influence on the way I think, practice, and get results.

I recommend this book for businesses that need to get systems together.

10. Fundamentals of Data Engineering

Fundamentals of Data Engineering


  • Language: English.
  • Paperback: 446 pages.
  • Item Weight: 1.57 pounds.
  • Dimensions: 7 x 1 x 9.25 inches.

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Reason To Buy

  • Diverse audience.
  • A guide to scientific planning.
  • Provide appropriate processing for each data lifecycle.
  • Evaluation of technology across the electrical engineering lifecycle.


Before reading this book, I was worried that only data scientists and software engineers would understand the book. Yet, after many hours, I have learned many valuable lessons.

My most impressive achievements are scientific planning and building systems to serve customer needs. This book also provides the knowledge you may have yet to find.

The final chapter highlights how to best evaluate technology by looking at the engineering lifecycle and effective data governance.

For weaknesses, I still recognize some typographical errors in this book on several pages. It didn’t affect my reading experience, though.

Buying Guide

Programming language

There are many programming languages ​​available today. Depending on the language you use, you will have different ways of analyzing data.

Make sure you will analyze data once you have a solid grasp of the programming language and personal needs.


Some of the books I recommend above are for all different audiences. Some books are intended only for those with prior expertise in data analysis.

So that learning new knowledge is accessible and you get all the information, choose a book with content that matches your skills.


The content of the book is also a critical criterion. Most books related to data analysis focus on a highly divergent problem. So, choose the right book about the topic you are interested in and learn a lot of necessary knowledge.


Can I teach myself data analytics?

You can learn data analysis with documents and video tutorials for data analysis.

Which data analytics course is best?

The best data analytics courses for me must provide easy-to-understand information and encourage student-faculty communication.

What are the 4 main types of data analytics?

You will often encounter four types of data analytics: prescriptive, descriptive, diagnostic, and predictive analytics.

Which data analytics course is best for beginners?

The best analytics courses for beginners include Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate, and Data Analyst with Python.

Can I become a data analyst in 3 months?

In 3 months, you can understand the most basic knowledge a data analyst needs. The condition is that you have to practice regularly to practice better skills.

Final Thoughts

I have read quite a few books on different data analyses. However, Data Analytics Made Accessibly is still the most up-to-date book for me.

Meanwhile, The Accidental Analyst: Show Your Data Who’s Boss is relatively easy to understand and valuable for amateur data analysts.

After reading my recommendation, I hope you will find valuable options. Thank you for reading!