This brand-new Data Science book (2021) covers every essential organizational and technical facet of (big) Data Science, AI, and machine learning. Learn how to build an intelligent, data-driven organization using the many examples and applications of data science and algorithms in this book. You will not only learn about the theory, but will also have access to practical data science case studies. After reading the 10 chapters of this data science book, you will be very well prepared to start a data science project in your organization or your clients’ organization. Order this Data Science book here.

What is the book about?

This book will help you better understand the essence of data science and AI so that you can reap the advantages by implementing new solutions and applications in your organization. In ten clear steps, the author describes the path to creating a mature, intelligent, and data-driven organization. You can become a part of a smarter organization and a more fair and intelligent world. To BI or not to be, that is the question. In the end, what matters is what you get out of it, not what I have put into it. Hopefully, you’ll be converted into an AI and data science enthusiast. Check out the reviews at the end of the page, to see what readers thought about our book!

Data science book product information

Number of pages:
Price (VAT excl.):
64.95 euro
Daan van Beek

Do you prefer the Kindle or paper back edition? Order this Data Science book on Amazon.

We’re generating more data than ever but only using 1% of it

In the last two years, people have generated more data than in the entire history of mankind before that. However, organizations only use a fraction of that data (1%). The book Data Science for Decision-Makers is going to help you achieve success by showing the way to a better organization performance. Learning about Data Science will help you obtain continuous improvement and innovation for your processes, products and business model.

Target audience

Every manager or professional that wants to increase their returns on data will find this data science book a valuable lifeline. The book is a must-read for (business) consultants, Data Science consultants, Data Scientists, AI consultants, (business) controllers, quality managers, BI consultants, project managers, Chief Data Officers, CIOs, and other executives.

Higher education

This data science book was also written for teachers and students. Many colleges and universities have made this book mandatory, but that doesn’t mean that it is like a textbook. Practical matters are at the forefront. We have a list of questions (available on request) that students and readers can use to test their knowledge of the book.

Achieving results with Data Science

Data science book resultsAfter reading this Data Science book, you’ll know exactly how the processes behind Big Data analytics and Data Science work. You’ll also have learned more about the analysis tools and you’ll be familiar with the architecture. You will have gained insight into the practical case studies that illuminate the theory. You’ll also know how to apply artificial intelligence and machine learning models and what the benefits are. Once you’ve read this Data Science book you’ll be able to separate the hype from the tangible benefits of Data Science and artificial intelligence. Finally, you can easily determine if and how Data Science & Analytics can work for your organization.

Predict the future using Data Science

Data Science isn’t just the future, it’s the here and now. Tactically implementing Data Science can lead to enormous profits. By using the Data Science strategies of this book, your organization can get a 360-degree customer view or predict machine outages, for example. Big Data analysis can reveal trends and patterns that had gone unnoticed. Data Science can also help you understand customers, substantially improve your company’s performance, predict the behavior of website visitors, and make data-driven decisions company-wide.

Essential algorithms of the Data Science book

Data Science for Decision-Makers covers every essential algorithm and related jargon. Gain a better understanding of the development process for the proper application of Data Science and AI techniques.

Image processing
Decision trees
Supervised learning
Unsupervised learning
Overfitting and underfitting
Linear regression
Naive Bayes

Text mining
Random forest
Genetic algorithms
Bayesian Network
Logistic regression
Gaussian Naive Bayes

Neural networks
Natural Language Processing
Business rules
Cluster analyses
Nearest neighbor search
Reinforcement learning

Essential topics in this complete Data Science book

With 432 pages, this Data Science book can be considered quite comprehensive. The author extensively covers the following topics and provides clear explanations about the terminology underpinning Data Science, BI, Artificial Intelligence (AI), machine learning, and (Big) Data Analytics. You can start seeing the forest for the trees once again.

Decision making processes
Machine learning & AI
Algorithms explained
Deep learning
Data Science organization
Data Science Roadmap
Maturity levels
Legislation: GDPR
Ethics & ethical principles
Data Science success factors
Agile working & data science
Robotic Process Automation
New Business models
Data Science & KPIs
Setting KPI targets
Data Strategy & policy
Data Science architecture
Cloud & Data Science
ETL & Big Data Science
Data Lakes & data quality
Data warehousing
Data Governance (DMBOK2)
Data virtualization
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Data Science Competencies
Data Science roles
Data Science tools
Data Science applications
Project management
Data Science & AI risks
Data Science Governance
BICC & Data Science
Data Science innovation
Continuous Improvement
Social infrastructure
Future of Data Science
Datafication of society

The book contains over 100 color illustrations and 50 (international) best practices and is bound as a deluxe hardcover.

Order this complete Data Science book now

Do you want to achieve success with Data Science, AI, and Big Data? Order the book ‘Data Science for Decision-Makers and Data Professionals’ now and make your organization intelligent and data-driven.

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About the author: Daan van Beek MSc

Daan van Beek, author of this Data Science bookDaan van Beek, CEO of Passionned Group, wrote this Data Science book based on over 20 years of experience as a consultant and manager. You won’t find more knowledge about creating an intelligent, data-driven organization through the application of Data Science, AI, and Big Data anywhere else. Daan regularly hosts AI & BI masterclasses in Europe, Singapore, South Africa, United States and Suriname. He also teaches AI & Data Science at the renowned business schools TIAS and EUR.

» Request an interview with the author

Reviews about Data Science book

Number of reviews: 4Average rating: 5 stars
5 stars
Jeroen Schothuis Qc Msc MBA | July 7, 2023

I have now read six chapters. My compliments for the quality offered in terms of content and structure. It is clear to me that the writer has a lot of practical experience and also showcases this in addition to the accessible theoretical frameworks. A must for controllers/financial manager/CEOs to study and implement this material in their organization.

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5 stars
Peter Mulder | Information manager | January 30, 2023

What struck me, you didn't just take a detailed and structured approach, you took an exceptionally detailed and structured approach! What appealed to me is that I now have a very complete reference book in the field of BI and AI.

Point of improvement: if your target audience is also at the strategic management level, I would also add some kind of "management summary".

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5 stars
Yolanda Stuijt | docent Business & IT Management | Amsterdam University of Applied Sciences | January 25, 2023

I started the Data Science book and already used it in my classes to explain KPIs. The topics are carefully explained in understandable Dutch. The illustrations are clear, easy to explain and of good quality to put in a ppt slide! If I have an English speaking class I can use the english illustrations. So very useful!!!

I improved one of my classes "BI tools" by using chapter 4 "data science tools and applications". Mapping the BI tools to the decision making process gives a good overview of what where which tool can be used and with the BI applications, I can explain to students what type of analysis takes place in their project.

Section 4.3 is learning material for me because the students learn this ealier in the curriculum. Actually, I use this book as a library to browse and grab what I need! Super nice!!!

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5 stars
Henk Wattimury | October 31, 2022

Compliments on your language and writing style. Clear and easy to follow. I started the last half. Technical part about dbms and the data warehouse fabric has piqued my interest. The schematic illustrations perfectly chosen.

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