The Decision Maker’s Guide to Data Science celebrates two years of teaching AI to executives

LONDON, LONDON, UNITED KINGDOM, Aug. 1, 2022 / — Technology is about people, not algorithms, notes author and data scientist Dr. Stylianos (Stelios) Kampakis as he celebrates the second anniversary of his seminal work “The Decision Maker’s Guide to Data Science.” Now in its second edition, this work has introduced the complex and overhyped world of artificial intelligence, machine learning, and big data to countless business executives in a simple, easy-to-follow way .

The second anniversary celebration, held on June 26, was hosted by the Tesseract Academy, led by Dr. Stylianos. Over 130 attendees purchased tickets that focused on the latest changes, frameworks and developments in the world of data science and the many choices today’s entrepreneurs have. Tesseract Academy will soon launch an Executive Data Science certification course.

The culmination of more than ten years spent doing data science, the Handbook emerged from a data science workshop that Dr Stylianos held in London for decision makers. He went on to self-publish the first issue, which soon became popular for its down-to-earth style and for demystifying the buzzwords that fill the business world. Buzzwords like Hadoop, Artificial Intelligence, Blockchain, Machine Learning, Big Data and Analytics, etc.

Tech phobia is often the result of using big words and making noise around them. The field of data science is actually multidisciplinary. Dr. Stylianos’ goal in writing this book was to make data science accessible without fear or fanfare, and the change had to start at a cultural and educational level. The fruits of the labor can already be seen in the reception the work has received since its publication.

“Very good for executive-level readers who need to use data science in their decision-making processes. Highly recommended!” says a recent reader.
The second edition of the Handbook presents a solution-oriented approach to doing data science when it comes to addressing business problems, along with the expertise and tools needed to develop a solid data strategy that is consistently effective. Also included are what pitfalls to avoid and many frameworks to use to grow a business.

Throughout his career, Stylianos has been actively involved in a wide range of projects involving science, data, technology and data science education. He frequently writes about data science, machine learning, blockchain and other topics on his blog: The Data Scientist ( He has a PhD in Computer Science from University College London, an MSc in Informatics from the University of Edinburgh and many other academic qualifications.

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