While data science is powering most modern organisations its technical intricacies often remain confined to a select few.This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman’s terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies. Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.

About the Author

Steve Mariadas is CEO of an Institute of Technology, he has a depth of understanding in technical skills. He has a wide range of experience in both industry and education having held the position of Chief Information Officer for a European airline. Since moving into education twelve years ago, he has been instrumental in building digital and data apprenticeships across the South West region. Steve was awarded a Technical Teaching Fellowship by the Royal Commission on delivering data skills to industry. He also works closely with a number of multi-nationals on their data skills strategy. Ian Huke qualified as a lawyer, specialising as a litigator before starting to develop legal software. Moving into financial services he worked for both start-up companies and leading insurance and banking firms. Here he created and led several business analysis functions, engaged in all aspects of change. Having become an independent consultant, he found his work was increasingly focused on data science, leading to a large dose of imposter syndrome.

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