The timing is ideal for learning data analytics and breaking into the expanding sector. According to industry heavyweights, there will be many available positions in the coming days. There are more and more career options for data experts across a broad range of businesses. The amount of knowledge one must acquire to pursue a profession in data analytics might be quite daunting. Some Data Analytics Books may help you.
While there is no lack of excellent books on data analytics, we have focused on those that are most appropriate for beginners. Many of these books provide an introduction or overview of a topic, as opposed to in-depth technical assessments. Some of the more skill-based publications have exercises that evaluate your knowledge of practical facts.
Top Data Analytics Books
1. Data Analytics Made Accessible by Anil Maheshwari
This is one of the top Data Analytics Books if you are a newbie and want to learn everything from scratch. The book’s language is simple to read and comprehend. A plethora of real-world examples are included in this book to help you grasp the ideas quickly. It is a textbook utilized in many different international organizations.
This book covers tools, applications, and other broad data analytics-related topics. This book will assist you in comprehending the relationship between data and business. This is an excellent place to start if you’re new to data analytics or want to learn more about it. Elevated summaries of significant data subjects are also included in the data analytics books.
Available on: Amazon, GoodReads.
Price: $9.99 (Kindle edition).
2. The Art of Statistics by David Spiegelhalter
“The Art of Statistics” by David Spiegelhalter is, in my view, one of the key texts for data analysts. This book is an invaluable tool for anybody wishing to advance their knowledge of data analytics.
Regardless of your level of expertise, this book will help give you tips and directions for navigating the complex world of data crunching. Spiegelhalter’s ability to convey intricate statistical ideas in an approachable manner sets this work apart.
This book not only includes thorough explanations but also real-world examples that show how statistical ideas are used in data analysis. You may get the knowledge and abilities needed to succeed in your area by reading “The Art of Statistics,” which will help you grasp the ideas more thoroughly.
Confidence intervals, regression, hypothesis testing, and Bayesian reasoning are just a few of the subjects covered in the book. It is a priceless tool for any data analyst as it offers a thorough review of statistical ideas and methods.
Available on: Amazon, Penguin Books.
Price:
- Audio book: Free with Audible premium.
- E-Book: $18.99.
- Hardcover: $17.35.
- Paperback: $15.98.
3. Data Science for Business by Foster Provost and Tom Fawcett
Foster Provost and Tom Fawcett’s “Data Science for Business” is one of the Best Data Analytics Books. This book is a thorough manual that examines the use of data analytics to promote corporate success. It offers insightful information on a broad variety of subjects, such as data mining, machine learning, and data visualization, to workers in both technical and non-technical fields.
In “Data Science for Business,” the writers show how data analytics may be used to resolve intricate business issues using several real-world examples. It is a comprehensive tool for any data analyst as it also covers the moral and legal ramifications of utilizing data.
“Data Science for Business” is a must-read for all data analysts, regardless of expertise level. It will provide you with the abilities and information needed to use data analytics successfully to propel company success.
Available on: Amazon, eBay.
Price:
- Audio book: Free with Audible premium.
- Kindle edition: $11.12.
- Paperback: $24.75.
4. Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Victor Meyer
This is one of the Best Data Analytics Books available to you. This book is a must-read for everyone who wants to understand the significance of data analytics beyond its business applications. This book prepares readers for the reality that the data revolution is here to stay while urging them to welcome the upcoming changes in the industry.
You will learn about big data in this book, as well as potential long-term effects. You may have a better understanding of big data applications by reading this theoretical book.
Available on: Amazon, WorldCat.
Price:
- Audio book: Free with Audible premium.
- Kindle edition: $13.99.
- Paperback: $14.59.
- Hardcover: $20.67.
5. Business Unintelligence by Barry Devlin
If you want to get a general overview of business intelligence, this is the finest book to read. The author of this book not only discusses the benefits and drawbacks of the many traditional business intelligence approaches but also offers recommendations for the future.
Dr. Devlin is the only pioneer of data warehousing and has made significant contributions to the BI industry. He also offers insightful advice on how to advance in the field of business analytics. This book explores the interrelationships among people, processes, and information as a critical component of contemporary business performance.
Traditional concepts of business intelligence (BI) are not covered in this book. Rather, it draws attention to BI’s limitations and presents new models and frameworks to develop the field. If you’re looking for a broad overview of BI’s history, current state, and future, this book is a fantastic choice.
Available on: Amazon, Cambridge University Press.
Price:
- Kindle edition: $39.95.
- Paperback: $39.95.
6. Python for Data Analysis by Wes McKinney
The primary topic of this book is data analysis and manipulation using the Python programming language. It covers necessary libraries such as NumPy, Pandas, and Matplotlib, providing practical tasks and examples to hone your data analysis abilities.
This is the ideal book for you if you are just getting started with data analytics. It offers thorough explanations of the ideas together with practical instances of data analysis. Even if you are an expert in data analysis, this book will help you sharpen your abilities and learn fresh methods for effective data analysis.
The data analytics sector uses Python extensively, and this book will help you become proficient in it. Thus, be sure to include “Python for Data Analysis” in your library of books on data analytics.
Available on: Amazon, Wes McKinney.
Price:
- Kindle edition: $17.60.
- Paperback: $43.99.
7. Storytelling with Data by Cole Nussbaumer Knaflic
The difficulty of successfully conveying data insights to a non-technical audience is well-known among data analysts. For this reason, “Storytelling with Data” by Cole Nussbaumer Knaflic is strongly recommended. This book shows you how to tell audience-resonant data tales that are captivating.
Knaflic provides useful advice and methods for creating powerful data presentations in one of his famous Data Analytics Books, such as selecting appropriate visual aids, streamlining intricate data, and keeping the main point front and center. “Storytelling with Data” is a must-read for any data analyst anticipating successfully conveying their data findings because of its entertaining and unambiguous writing style.
Available on: Amazon, AbeBooks.
Price:
- Audio book: Free with Audible premium.
- Kindle edition: $25.
- Paperback: $29.95.
- Spiral-bound: $53.68.
8. Artificial Intelligence- A Guide for Thinking Humans by Melanie Mitchell
In her book Artificial Intelligence, award-winning author and respected computer scientist Melanie Mitchell examines the turbulent past, achievements, and mounting concerns around artificial intelligence (AI). Mitchell looks at the most important problems that AI is now facing, including its operation. Do we have to worry that they’ll pass us by?
Mitchell provides readers with a clear picture of the vast difference between the hype and actual advancements in AI while simultaneously spinning anecdotes about the science of AI and the people who have contributed to it.
You will be able to separate the hype around artificial intelligence (AI) from reality with the aid of this book. To help readers better understand complex concepts such as neural network models, natural language processing, and machine vision models, computer scientist author Melanie Mitchell looks into the history of AI and the people who have developed it.
Data analysts could find it helpful to be aware of these advancements and how they impact the industry, even if they are not obliged to possess a deep understanding of AI. Mitchell approaches these topics understandably and fascinatingly.
Available on: Amazon, Macmillan publishers.
Price:
- Audio book: Free with Audible premium.
- Kindle edition: $11.99.
- Paperback: $17.02.
- Hardcover: $46.71.
9. Naked Statistics by Charles Wheelan
One of the greatest Data Analytics Books for understanding statistics is this one. If you want to revisit the statistics you studied in college, pick up this book. If you find it difficult to grasp mathematical concepts presented as a list of numbers and symbols without any context, pick up this book.
Charles Wheelan explores the core concepts of statistical analysis—correlation, regression, and inference—interestingly and educationally. In the modern world, Wheelan makes a compelling (and funny) case that everyone, not just data specialists, should understand statistics.
You may not graduate with a thorough knowledge of statistics. This book may help you understand the fundamental concepts and why they matter, which makes it a wonderful addition to more specific statistics courses.
Available on: Amazon, GoodReads.
Price:
- Audio book: Free with Audible premium.
- E-book: $9.99.
- Paperback: $11.59.
- Hardcover: $15.71.
Why Are Books So Important To Data Analysts?
Keeping abreast of the most recent developments in data analytics is essential for job advancement as a data analyst. Books continue to be an essential source of information even with the abundance of internet alternatives.
Gaining a comprehensive comprehension of many topics and procedures might be facilitated by perusing Data Analytics Books. To help you master the trade, they provide real-world case studies, step-by-step directions, and practical examples.
Books not only provide clarification, but they also facilitate self-directed learning, enabling Data Analysts to delve further into subjects at their leisure. They also provide a better comprehension of how various ideas interact in real-world situations, which is sometimes difficult to do with only internet resources.
Additionally, Data Analytics Books are authored by professionals in the industry, making them a trustworthy and credible source of knowledge. A solid data analytics book may be quite helpful for any analyst wishing to further their knowledge and abilities since not all web sources can be relied upon.
FAQ
Q: Is data analysis a good skill?
A: If you have the necessary abilities, switching to a career in data analytics might result in steady work in a lucrative field. There will likely be a million job openings for scientists and data analysts, marking an all-time high in demand for their skills.
Q: What tasks does a data analyst do every day?
A: To find an explanation or resolve an issue, a data analyst gathers, purges, and evaluates data sets. They are employed by the government in the fields of research, health, business, finance, and criminal justice.
Q: What are data analytic tools?
A: Businesses are starting to realize that using data analytics tools makes it simpler to handle their data sensibly as they place a greater emphasis on big data. By using these technologies, businesses may better understand their entire operations by gathering and organizing data from a number of sources.