Business analytics skills are in-demand, and MBA pass-outs want to acquire them at the earliest. Keeping such needs in mind, the author has presented some of the best business analytics books for you to go from beginner to pro!
The ease of access to knowledge has increased with the globalisation of the internet. We have instant access to every piece of information. Even business analytics experts have a library of books to expand their horizons. Big Data interpretation relies heavily on Business intelligence (BI) (BI), which is quickly expanding in importance. By 2020, it’s anticipated that there will be 1 billion smartphone users worldwide, exceeding the number of basic fixed phone subscribers. Suppose you are familiar with Business intelligence (BI). In that case, you will be able to extract every last bit of value from the mobile data at your disposal due to this expansion.
Additionally, 42% of businesses plan to implement mobile-based BI as a growth strategy.
After proving the indisputable value of BI in the digital age, let’s look at a few books that can help you learn the knowledge and abilities you’ll need to succeed.
In his book “Microsoft Excel Data Analysis and Business Modeling,” the honourable author Wayne L. Winston walks readers through the fundamental principles of Microsoft Excel Data Analysis and Business Modeling as well as how to use the program’s most recent tools. This book goes into great detail to help you become an excel expert, but it also has a wealth of information for the practical application of technical concepts like multiple regression and time-series forecasting. This book is what we refer to as learn-it-yourself because it is filled with several application examples.
Anyone with no prior knowledge of BI can learn about it from “Business intelligence (BI) For Dummies.” To get readers started, it introduces the fundamental ideas and vocabulary. The book then guides readers through identifying their business needs, coming up with a plan, and implementing BI. It gives readers the tools and abilities to assess trends and use BI on their own. It also covers the technical procedure for adopting BI.
“Too Big to Ignore,” one of the big data-based books, provides a fantastic introduction to the subject. However, this business analytics book illustrates how big data works in a way that is simple, approachable, and wholly practical rather than presenting analytic techniques.
Here, you will discover why big data is such a significant issue and why it is essential for businesses to understand how to use big data in their day-to-day operations.
With its tried-and-true teach-by-example methodology, student-friendly writing style, and full Excel 2016 integration, this well-known quantitative methods text enables you to maximise your performance. (It works with Excel 2013, 2010, and 2007 as well.) Three online chapters of the material are devoted to sophisticated statistical analysis. The emphasis in the chapters on data mining and data importation into Excel is on business analytics tools, such as the “Power BI” suite for Microsoft Excel. Recent instances and problem sets show how chapter themes connect to actual practice. The Companion Website also offers PowerPoint slides, SolverTable for sensitivity analysis, and the Palisade DecisionTools Suite, in addition to data and solution files.
For experts in business analytics, statistics is fundamental knowledge. It aids in their comprehension of the data at hand and the discovery of crucial connections. The best book for statistics novices, in the opinion of many, is Charles Wheelan’s Naked Statistics. When it comes to explaining the concepts of descriptive, inferential statistics, probability, and regression, it is entertaining and simple to read.
This book is excellent for experts as well as beginners because technical subjects are discussed in straightforward words. However, anyone can review or refresh their knowledge of statistics without getting bored.
Business managers can learn more about BI by reading this book, which is a part of the “The Savvy Manager’s Guide” series. The fundamental ideas of BI are introduced throughout the book, along with the technical phrases and jargon that go with them. Loshin walks managers through the creation of BI and how it contributes to success. Both new and old technologies are introduced in order to explain the history of business intelligence (BI) as well as how they are changing to meet the demands of digital data. Along with a glossary of words and a list of technologies, the book also includes partner websites with additional resources.
Another best-selling book, Data Analytics, offers clear explanations of how to use data to boost sales, accelerate growth, and improve competency. Learn how to use data effectively in your work, studies, and business. The multi-time bestselling author Edward Mire offers an excellent introduction to data analytics skills for beginners. You won’t have any trouble comprehending the concepts because he is renowned for his ability to translate complex ideas into simple phrases. The book is a combination of the most useful data analytics that will help you comprehend the techniques to quickly and simply close execution gaps in your operations, sales, and marketing strategies.
The ideas of data warehousing and business intelligence are well explained in this book. It begins with a summary of why data is so crucial in today’s corporate environment before covering every aspect of a BI project. This book will aid in your understanding of complex topics by providing a wealth of visuals, product structures, and data modelling in addition to the purely technical components of a project.
Other subjects discussed here include data integration and BI design, which are followed by difficulties relating to people, such as project management and workflows. Author Rick Sherman has been successful in striking the ideal balance between a guide for novices and a position for seasoned practitioners.
He examines BI in great detail, discussing its business and technological components and its architectural foundations from the viewpoints of high-level solution architecture and low-level query design patterns. These chapters in this book are pertinent to your specific area of expertise and teach new skills or stimulate new ideas, regardless of your duties as a BI practitioner.
In a nutshell, a certification in Business Analytics can boost your career in terms of increased job opportunities, higher pay, etc. Whether you choose to go for a full-time or part-time Business Analytics program is solely your decision. The books mentioned above will help you become a better analytics consultant and excel in your career.