Top Data Science and Business Analytics Books to Read in 2023

Data Science and Business Analytics job prospects are booming in the global market with high salary packages from reputable firms. Eminent educational institutions throughout the world are providing specialised curricula, including top-notch online certificate courses to aspiring data scientists. 

If one has significant expertise in machine learning algorithms and data management, there's a great possibility in the subject of Data Science and Business Analytics. It is apparent that the employment market for data professionals is thriving, with possibilities in a wide range of sectors. The amount of content to learn when preparing for a job in data science and business analytics might be intimidating.

There are several resources available to learn about various elements of Data Science and related models, including journals, blogs, videos, and courses. You might be confused to find the best ones. As a result, we've compiled some of the top books on data science and business analytics that cover everything you need to know about the subject. These AICTE recommended books will assist any UG, PG or a research scholar in understanding the power of data science and how to employ it. Continue reading to learn more.

Top Data Science and Business Analytics Books You Can Read in 2023

Listed below are some of the books for those who've no prior experience in data science and business analytics. Furthermore, these books are well-suited for engineers, managers and business leaders as well who want to utilise Data Science principles in their businesses. The books listed below give a high-level overview of the Data Science methodology and some of its many business applications.

 

• Data Science & Analytics, V.K. Jain, Khanna Book Publishing, New Delhi

 

Penned by an eminent writer, Dr V.K. Jain, this particular book describes how data for data science is obtained, handled, and stored. With comprehensive courseware for understanding several topics in data science, including the toolkit leveraged by data scientists and their real-world applications. 

It also has all the necessary lessons on Bokeh, R. Python, IBM SPSS-21, Anaconda, and Matplotlib. It comprehensively covers the basics of data science. Whether you are experienced in the field or a fresher in this field, this particular book stands out for various reasons:

• It thoroughly covers all of the key ideas related to data preparation and data modelling while also thoroughly explaining the mathematics underlying the concepts.
• It uses appropriate and straightforward examples to illustrate difficult concepts and methods, making ideas less intellectual and more practical.

 

• Business Analytics, Dinesh Kumar, Wiley India

 

U Dinesh Kumar, a renowned Professor of IIM Bangalore in Decision Sciences and Information Systems, has jotted this book for aspiring data scientists and experts in this domain.

Penned practically with cool ideas, this business analytics book intends to serve as a guide for organisations looking to use the potential of analytics. The book is divided into 17 chapters that cover all aspects of analytics, including prescriptive, predictive, and descriptive analytics. The first few chapters cover the fundamentals of business analytics. 

The basic knowledge of the idea of random variables, descriptive statistics, continuous and discrete random variables, hypothesis, confidence interval, analysis of variance and correlation, and hypothesis testing are all present in the book to give readers a deeper understanding of the subject. 

After reading this book, readers can "think like a data scientist" and extract all of the hidden potentials in their company data. Understanding how and where to utilise massive volumes of information, how to incorporate analytics processes into day-to-day operations, and how data utilisation no longer has to be a technical chore reserved for the IT department, among other things. Definitely, an important business analytics roadmap book to have in your library.

 

• Business Analytics, Babita Chopra, Vivek Bhambri, Balaram Krishna, Khanna Publications

 

This book by Babita Chopra, Vivek Bhambri and Balaram Krishna was written as an introductory text for management studies and computer science at the postgraduate and undergraduate levels. It covers the technical ideas of this trendy topic in clear and straightforward language. It includes the curriculum for B. Tech and MCA degrees at Punjab Technical University, Punjab University, and many more prominent universities in India.

Readers have given the book overwhelmingly good feedback. The majority of them emphasise the three writer's ability to explain the concepts understandably and engagingly without making it boring. 

Even after 7 years of publication, this book is still regarded as one of the finest in teaching how to present an idea. Also, it assists you in making a presentation succinct, comprehensible, and compelling.

Conclusion

We are confident that these books will enable you to enter the field of data science and business analytics as the year 2023 approaches. These books will undoubtedly persuade you of the value of data science in the present and future. 

While self-study is essential for learning new ideas and technology, a structured approach with a legit certification course will get you far in your field. Well, we suggest you get a certificate in data science from Skill-Lync to further your interest in data science and business analytics. So, why wait? Start your journey in the domain of data science right away!