Data Science Authors: John D. Kelleher, Brendan Tierney

Data Science by John D. Kelleher and Brendan Tierney delivers an accessible, yet intellectually robust overview of one of the most transformative disciplines in the modern world. Published as part of The MIT Press Essential Knowledge Series, the book is designed for curious minds—from students and educators to business leaders and tech enthusiasts—seeking clarity in the complex terrain of data science.

With a structured approach, the authors explain:

The history and evolution of data science

Key tools and techniques, including statistical modeling, machine learning, and data mining

The data lifecycle, from collection to cleaning, analysis, and visualization

The social, ethical, and policy implications of working with big data

Examples of how data science is applied in industries like finance, healthcare, marketing, and urban planning

Kelleher and Tierney emphasize both the science and the art of extracting insight from data. Using case studies and simplified technical explanations, they explore how algorithms make predictions, how biases can distort outcomes, and how data-driven decisions shape everything from consumer behavior to public governance.

This book stands out for its clarity, brevity, and forward-looking vision—making it an ideal primer for Kenyan educators building digital literacy programs or tech hubs promoting foundational analytics skills.