Top List of Must-Read of Business Analytics Books

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Top List of Must-Read of Business Analytics Books

Business analytics uses data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. It involves collecting, storing, cleaning, analyzing, and interpreting large data sets to make data-driven decisions and improve business performance. If you want to learn the skill and are looking for beginners level business analytics books, this post is for you. Read further. 

 

Top list of must-read of business analytics books

 

With the amount of data generated by businesses and consumers alike increasing at an unprecedented rate, making sense of this data and extracting valuable insights has become crucial for organizations of all sizes and industries. Business analytics allows organizations to understand their customers better, identify new market opportunities, improve operational efficiency, and make better-informed decisions.

 

Career Options in Business Analytics

There is a growing demand for professionals with expertise in business analytics across various industries. Businesses increasingly recognize the value of data-driven decision-making and leveraging data to gain insights and improve performance. As a result, there is a high demand for professionals with the skills and knowledge to collect, store, clean, analyze, and interpret large data sets.

In addition to the growing demand for business analytics professionals, they must stay current with the latest trends and techniques in the field. Business analytics is a rapidly evolving field, with new technologies, methodologies, and techniques continuously being developed.

Staying current with the latest trends and techniques is crucial for professionals to deliver the most value to their organizations and remain competitive in the job market.

 

How Do Business Analytics Books Help You Stay Up to Date?

Business Analytics Books are a valuable resource for learning about business analytics. They can provide a comprehensive introduction to the field, covering its history, key concepts, and current state of the art. They can also serve as a reference guide for professionals looking to deepen their understanding of specific topics or techniques.

Books can also be an excellent resource for professionals who want to stay current with the latest trends and techniques in the field. Many books are written by experts in the field who can provide insight into the latest developments and how they are being applied in practice.

Below you will find Business Analytics books for every level of learner, from Beginners to Professionals. This curated list of Business Analytics books will help you pick the right book for your specific needs.

 

Business Analytics Books for Beginner Learners

 

1. Data Analytics For Beginners: Your Ultimate Guide To Learn And Master Data Analysis. Get Your Business Intelligence Right – Accelerate Growth And Close More Sales by Victor Finch

This is one of the best Business Analytics books to start your journey in Business Analytics as a beginner. While this book targets beginners, it provides unique insights for business analytics practitioners at every level. It explains the basic concepts of data analytics and how it has use cases across industries.

This book introduces key concepts such as data collection, cleaning, visualization, and advanced topics like machine learning and predictive modeling. It offers practical examples and exercises to reinforce learning. The author’s clear and straightforward writing style makes it easy for beginners to understand the material.

This book provides an excellent foundation in data analytics that applies to business and professional pursuits. Overall, “Data Analytics for Beginners” is one of the essential business analytics books for anyone looking to learn about data analytics and how to use it to improve their business.

The book is written in a way that is easy to understand and provides a comprehensive introduction to the field of data analytics and its applications in the industry. The book provides beginners with the knowledge and skills they need to use data to drive growth, make better decisions, and achieve their goals.

 

2. The Hundred-Page Machine Learning Book By Andriy Burkov

“The Hundred-Page Machine Learning Book” by Andriy Burkov is a relatively short book that provides an overview of the key concepts and techniques in machine learning. The book assumes that the reader has yet to gain prior knowledge of the field and aims to introduce the topic briefly.

The book covers the fundamental concepts of machine learning, such as supervised and unsupervised learning, decision trees, and neural networks. The author also provides examples and case studies to illustrate how machine learning can be applied in real-world scenarios.

The book also covers the basics of deep learning, a subset of machine learning, and is very useful in practice. However, it’s worth noting that the book is not a comprehensive guide to machine learning, and it’s intended to cover only some of the aspects of the field but rather to provide a high-level overview of the key concepts.

In summary, if you want a brief introduction to machine learning and want to understand the fundamental concepts, then “The Hundred-Page Machine Learning Book” may be a good starting point. However, if you are looking for a more in-depth and comprehensive guide to machine learning, consider other business analytics books.

 

3. Predictive Analytics for Dummies by Anasse Bari, Mohamed Chaouchi, and Tommy Jung

This is one of the most beginner-friendly business analytics books that introduces the field of predictive analytics. The book is written in a clear and easy-to-understand style, making it accessible to readers with little prior knowledge of the subject.

The book covers the basics of predictive analytics, including the different types of predictive modeling, such as linear and logistic regression, and the various tools and techniques used in the field, such as data mining and machine learning. The book also covers the key concepts and methods used in predictive modeling, including feature selection, model evaluation, and deployment.

The book also provides several examples and case studies to illustrate how predictive analytics can be used in various industries and business scenarios, such as finance, healthcare, and retail. The book also includes a section on big data, a crucial part of predictive analytics.

Overall, “Predictive Analytics for Dummies” is a valuable resource for anyone looking to learn about predictive analytics and how to use it to make data-driven decisions. The book provides a comprehensive introduction to the field and its applications, and it is written in an easy-to-understand style that is accessible to beginners.

 

4. Big Data Demystified: How To Use Big Data, Data Science, And AI To Make Better Business Decisions And Gain Competitive Advantage by David Stephenson

This book aims to provide a comprehensive introduction to big data and its applications in business. The book is written for beginners and is intended to give a gentle introduction to the topic for those with little to no prior knowledge of big data and related technologies.

The book covers the fundamentals of big data, including data warehousing, data mining, and analytics, as well as more advanced topics such as machine learning and artificial intelligence. The author also provides examples and case studies to illustrate how big data can be used in various industries and business scenarios to drive growth, improve decision-making, and gain a competitive advantage.

The book also covers essential topics such as data governance, data security, and data privacy, which are essential for any business that wants to use big data to gain a competitive edge. Additionally, the book provides a step-by-step guide on using various big data platforms and tools, giving the readers a hands-on experience and helping them understand the data analytics process.

This is a valuable resource for anyone looking to learn about big data and how to use it to make better business decisions and gain a competitive advantage. The book comprehensively introduces big data and its applications in business. It is written in a clear, easy-to-understand style accessible to beginners.

 

5. Microsoft Excel Data Analysis and Business Modeling by Wayne L. Winston

This book introduces using Microsoft Excel for data analysis and business modeling. The book is written for beginners, assuming that the reader has yet to gain prior knowledge of the subject. The book covers Excel basics, including navigating the interface, creating and editing worksheets, and using formulas and functions.

It also covers more advanced topics such as data visualization, statistical analysis, and financial modeling. The author also provides examples and exercises to help readers apply the concepts they learn to real-world scenarios. It is worth noting that this book focuses on using Excel as a tool for data analysis and business modeling rather than providing a comprehensive introduction to data analytics or business modeling.

The book will give the readers the knowledge and skills necessary to use Excel for data analysis and modeling. Still, it only covers some data analytics or business modeling aspects. In summary, “Microsoft Excel Data Analysis and Business Modeling” is a helpful resource for beginners interested in using Excel for data analysis and business modeling.

The book provides a comprehensive introduction to Excel’s key concepts and techniques. It is written in a clear, easy-to-understand style accessible to beginners. However, it is essential to note that the book focuses on using Excel as a tool, and it may only cover some aspects of data analytics or business modeling. Still, this is one of the must-read business analytics books.

 

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Business Analytics Books for Intermediate Learners

 

1. Too Big to Ignore: The Business Case for Big Data By Phil Simon

This book provides an in-depth examination of the business case for big data, which is intended for an intermediate level of understanding of the topic. The book is written for professionals and business leaders who have some understanding of big data and its potential applications in business.

The book covers the basics of big data, including its history, technologies, and applications. It also delves into more advanced topics such as data governance, security, and privacy. Additionally, the book provides several case studies and real-world examples, which will help readers to understand how big data is used in various industries and businesses.

The author also provides a perspective on the future of big data and its impact on business and offers strategies and best practices for effectively leveraging big data in a business context. Furthermore, The author also provides insights on how to measure the ROI of big data projects and how to create a data-driven culture within an organization.

Overall, “Too Big to Ignore: The Business Case for Big Data” is a helpful resource for intermediate learners looking to gain a deeper understanding of big data and its applications in business. The book comprehensively examines the topic, written in a clear and easy-to-understand style accessible to business professionals and leaders.

 

2. Big Data: A Revolution That Will Transform How We Live, Work, and Think By Viktor Mayer-Schönberger and Kenneth Cukier

This book provides an in-depth examination of the impact of big data on society and business, and it’s intended for an intermediate level of understanding of the topic. Like “Too Big to Ignore”, this book also covers the basics of big data and delves into more advanced topics, including data governance, security, and privacy.

Several case studies and real-world examples show readers how big data is used in various situations. The authors also offer a perspective on the future of big data and its impact on society, including economic, political, and cultural implications. They also discuss big data’s ethical and legal challenges, such as privacy and security.

Furthermore, the book offers insights into how big data can create new business opportunities, improve decision-making, and navigate the challenges of working with such large amounts of data. This is a valuable resource for intermediate learners looking to gain a deeper understanding of the impact of big data on society and business.

The book comprehensively examines the topic and is written in a clear and easy-to-understand style accessible to business professionals and leaders.

 

3. A Practitioner’s Guide to Business Analytics: Using Data Analysis Tools to Improve Your Organization’s Decision-Making and Strategy By Randy Bartlett

This is one of the business analytics books that provide an in-depth examination of the use of business analytics to improve organizational decision-making and strategy. The book is written for an intermediate level of understanding of the topic, and it is intended for professionals and business leaders who have some understanding of business analytics and its potential applications in business.

The book covers the basics of business analytics, including data collection, cleaning, and visualization, as well as more advanced topics such as statistical analysis, predictive modeling, and machine learning. The author also provides examples and exercises to help readers apply the concepts they learn to real-world scenarios.

Additionally, the book offers a step-by-step guide on using various business analytics tools and platforms, giving the readers a hands-on experience and helping them understand the data analytics process. The book also provides a perspective on the future of business analytics and its impact on organizational decision-making and strategy.

The author also offers procedures and best practices for effectively leveraging business analytics in a business context and how to measure the ROI of business analytics projects. This is a useful resource for intermediate learners looking to gain a deeper understanding of business analytics and its applications in organizational decision-making and strategy.

The book comprehensively examines the topic and is written in a clear and easy-to-understand style accessible to professionals and business leaders.

 

4. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking By Foster Provost and Tom Fawcett.

This book thoroughly examines data science and its applications in business. The book is written for an intermediate level of understanding of the topic, and it is intended for professionals and business leaders who have some understanding of data science and its potential applications in business.

The book covers the basics of data science, including data collection, cleaning, and visualization, as well as more advanced topics such as statistical analysis, predictive modeling, and machine learning. The authors also provide examples and case studies to illustrate how data science can be used in various industries and business scenarios to drive growth, improve decision-making, and gain a competitive advantage.

The book also provides a perspective on the future of data science and its impact on business. It also offers strategies and best practices for effectively leveraging data science in a business context. Additionally, the book covers critical concepts such as data governance, data security, and data privacy, which are essential for any business that wants to use data science to gain a competitive edge.

Overall, this is a useful resource for intermediate learners looking to gain a deeper understanding of data science and its applications in business. The book comprehensively examines the topic and is written in a clear and easy-to-understand style accessible to professionals and business leaders.

 

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5. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

This book provides an in-depth examination of the field of predictive analytics and its applications in various industries. The book is written for an intermediate level of understanding of the topic, and it is intended for professionals and business leaders who have some understanding of predictive analytics and its potential applications.

The book covers the basics of predictive analytics, including the different types of predictive modeling, such as linear and logistic regression, and the various tools and techniques used in the field, such as data mining and machine learning. The book also covers the key concepts and methods used in predictive modeling, including feature selection, model evaluation, and deployment.

The book also provides several case studies and real-world examples, which will help readers to understand how predictive analytics is used in various industries and businesses, such as finance, healthcare, and marketing. The author also provides a perspective on the future of predictive analytics and its impact on business and offers strategies and best practices for effectively leveraging predictive analytics in a business context.

This is one of the best business analytics books for intermediate learners looking to gain a deeper understanding of predictive analytics and its applications in various industries. The book comprehensively examines the topic, written in a clear and easy-to-understand style accessible to professionals and business leaders.

 

Business Analytics Books for Pros

 

1. Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic

“Storytelling with Data: A Data Visualization Guide for Business Professionals” is a book that aims to provide a comprehensive guide on how to communicate data insights to different audiences through data visualization effectively. The book by Cole Nussbaumer Knaflic targets business professionals who understand data and its potential applications in business.

The book covers the basics of data visualization, including design principles and best practices for creating compelling visualizations. It provides practical examples and exercises to help readers apply the concepts they learn to real-world scenarios.

The author also covers fundamental concepts of data visualization, such as data exploration, cleaning, and preparation, which are essential for creating compelling visualizations. One of the critical aspects of the book is the emphasis on the importance of storytelling in data visualization and how to use visualization to communicate data insights effectively to different audiences.

The author also provides strategies and best practices for choosing suitable chart types and design elements to communicate data insights effectively. Overall, this is one of the most comprehensive business analytics books for business professionals to communicate their insights through data visualization effectively.

 

2. Data Strategy: How to Profit from a World of Big Data, Analytics, and the Internet of Things by Bernard Marr

This is a book that provides a comprehensive guide on how organizations can create a data strategy to leverage big data, analytics, and the Internet of Things to drive growth and gain a competitive advantage. The book provides unique insight into the importance of having a clear and well-defined data strategy.

The author argues that organizations may need a clear strategy to leverage their data effectively and may miss out on potential opportunities. The book provides a step-by-step guide on how organizations can develop a data strategy, including identifying critical data assets, setting goals and objectives, and creating a plan to achieve them.

Another unique insight provided by the book is the emphasis on the importance of utilizing the Internet of Things in data strategy. The author argues that the Internet of Things offers a wealth of data that can be used to gain insights and make better decisions. Still, it presents new challenges, such as data security and privacy. The book guides how organizations can effectively leverage IoT data while addressing these challenges.

The book also offers a unique insight into the importance of data governance and ethics when creating a data strategy. The author argues that data governance is essential for ensuring data quality, security, and compliance, and data ethics is crucial to ensure data is used responsibly and ethically.

This is one of the best business analytics books to guide how organizations can implement data governance and ethic in their data strategy. This book provides a comprehensive guide on how organizations can create a data strategy that leverages big data, analytics, and the Internet of Things to drive growth and gain a competitive advantage.

 

3. Business unIntelligence: Insight and Innovation Beyond Analytics and Big Data By Barry Devlin

This is one of the few business analytics books that critically examine the current state of data analytics and its limitations. The book is written for business leaders and professionals who want to understand the limitations of traditional data analytics and how to move beyond it to gain insights and drive innovation.

One unique insight provided by the book is the author’s argument that traditional data analytics is limited in providing insights and driving innovation. The author argues that more than traditional data analytics, which focuses on structured data, is needed for understanding modern business’s complexity and that organizations need to adopt a more holistic approach to data and analytics.

Another unique insight provided by the book is the author’s concept of “business unintelligence”, which he defines as the ability to understand and use data and insights in a way that goes beyond traditional data analytics. The author argues that business unintelligence is a mindset that allows organizations to think beyond data and analytics and to understand the broader context of business, including human behavior and emotions.

The author also guides how organizations can move beyond traditional data analytics and adopt a more holistic approach to data and analytics. This includes strategies for understanding and leveraging unstructured data, such as social media and text data, and methods for understanding and utilizing human behavior and emotions in business.

This book critically examines traditional data analytics’s limitations and offers a new approach to understanding and utilizing data in business. It provides a unique perspective on how to move beyond traditional data analytics and gain insights and drive innovation by adopting a more holistic approach to data and analytics.

 

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4. Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

This is one of the most essential business analytics books for learning about business analytics because it provides a clear and concise introduction to the fundamental concepts and techniques of statistics, which are essential for understanding and analyzing data in a business context.

One key reason why this book is important is that it demystifies statistics, making it accessible to readers who may have a limited background in math or statistics. The author uses real-world examples and humorous anecdotes to explain complex statistical concepts in a clear and easy-to-understand way.

This makes the book particularly useful for business professionals who may have a weak background in statistics but need to understand and analyze data in their work. The book also covers essential concepts and techniques of business analytics, such as probability, hypothesis testing, and regression analysis. These concepts are essential for understanding and analyzing data in a business context.

The author’s clear explanations and real-world examples make it easy for readers to understand and apply these concepts. The book also provides examples of how these concepts are used in different industries and business scenarios, which will help readers to understand how data analysis can be used to make better business decisions.

Overall, this is an essential book for learning about business analytics because it provides a clear and concise introduction to the fundamental concepts and techniques of statistics, making it accessible and useful for business professionals who need to understand and analyze data.

 

5. Business Analytics: Data Analysis & Decision Making” by S. Christian Albright and Wayne L. Winston

This is a widely used textbook that is considered a valuable resource for professionals looking to expand their knowledge in the field of business analytics. It covers various concepts and methods essential for making data-driven decisions. The book provides a comprehensive introduction to business analytics, covering topics such as descriptive statistics, probability, estimation, hypothesis testing, correlation and regression, forecasting, and optimization.

The book is also helpful for professionals who may have business analytics experience but want to deepen their understanding of the field. It’s worth noting that the book is focused on the decision-making aspect of business analytics rather than just the technical aspects of data analysis.

This makes it a good choice for professionals looking to develop their decision-making skills. However, it’s not a specialized book and won’t cover advanced topics in depth. Overall, this is a practical and valuable resource for professionals seeking a solid foundation in business analytics.

 

FAQs

 

1. How to select the right Business Analytics books?

Selecting the right business analytics books can be challenging, as far too many books are available on the subject, each with its specific focus and level of complexity. Here are some factors to consider when selecting business analytics books:

  • Audience: Consider the book’s intended audience. Is it written for beginners or professionals with some experience in the field? Is it written for a general audience or a specific industry or application?
  • Coverage: Consider the topics that are covered in the book. Does it cover a broad range of concepts and methods, or is it focused on a specific area of business analytics? Does it cover the latest trends and techniques in the field?
  • Author: Consider the author of the book. Are they an expert in the field of business analytics? Do they have a good reputation and are well-known in the field?
  • Reviews: Review the book from other readers and experts in the field. This can provide valuable insight into the strengths and weaknesses of the book and whether it aligns with your learning goals.
  • Table of Content: Check the table of content. It can give you a good idea about the book’s structure, the topics covered, and if it aligns with your learning goals.
  • Practice Problems: Check if the book includes practice problems or exercises to help you apply what you have learned.

It’s also worth noting that you don’t have to stick to one book. You can use multiple resources to supplement your learning, such as online courses, certifications, and forums. You can use business analytics books as a foundation and other resources to deepen your understanding and stay current with the latest trends and techniques.

 

2. What are other resources apart from Business Analytics books?

Business Analytics Books are an excellent resource for learning business analytics but are not the only available resource. Several other resources can supplement the knowledge gained from reading books and help professionals to develop their skills and stay current with the latest trends and techniques.

 

Online Courses:

Online courses are a great way to learn about business analytics. They provide a structured learning experience, often with video lectures, quizzes, and assignments that can help to deepen understanding and retention of the material. Many online courses also provide a certification upon completion, which can be added to a professional’s resume to demonstrate their knowledge and skills.

 

Certifications:

Certifications are a way to demonstrate expertise in business analytics. They can be obtained by passing an exam or completing a course, demonstrating to employers and clients that a professional has the knowledge and skills required to perform a specific job or task. Many certifications are available in business analytics, such as the Certified Analytics Professional (CAP) or the IBM Business Analytics Professional.

 

Forums:

Forums are an excellent way to connect with other professionals in business analytics. They can provide a platform for sharing knowledge, asking questions, and getting feedback on projects and ideas. Many forums also have job boards, which can be a great way to find new job opportunities in business analytics.

 

Blogs & Newsletters:

Blogs and newsletters are a great way to stay current with the latest trends and techniques in business analytics. Many experts in the field write blogs and newsletters, which can provide valuable insights into new developments, tools, and best practices.

 

Conferences:

Conferences are an excellent way to stay current with the latest trends and techniques in business analytics. They provide a platform for professionals to network, learn from experts in the field, and stay up-to-date with the latest developments.

 

3. What are the career opportunities in business analytics?

Business analytics is a rapidly growing field with many career opportunities. Professionals with expertise in business analytics can work in various roles, including

  • Data Scientists: Data scientists use advanced statistical and machine learning techniques to analyze large data sets, extract insights, and make predictions.
  • Business Analysts: Business analysts use data analysis and modeling techniques to support decision-making and process improvement across an organization.
  • Data Architects: Data architects design and implement data systems and databases that support business analytics.
  • Operations Research Analysts: Operations research analysts use analytical methods to help organizations make better decisions and improve operations.
  • Business Intelligence Analysts: Business intelligence (BI) analysts use data visualization and reporting tools to create dashboards and reports that allow organizations to track performance and make data-driven decisions.
  • Risk Analysts: Risk analysts use data and statistical modeling to evaluate and manage risk in an organization.
  • Marketing Analysts: Marketing analysts use data and analytics to support marketing decision-making, such as segmentation, targeting, and campaign optimization.
  • Financial Analysts: Financial analysts use data and analytics to support financial decision-making, such as budgeting, forecasting, and investment analysis.
  • Supply Chain Analysts: Supply chain analysts use data and analytics to support supply chain decision-making, such as demand forecasting, inventory management, and logistics optimization.

 

These are just a few examples of the many roles available for professionals with expertise in business analytics. The field is growing rapidly, and new roles and opportunities are constantly being created. Business analytics is a versatile field; professionals can work in various industries, such as retail, healthcare, finance, logistics, marketing, and more.

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