Data Science from Scratch
by Joel Grus
Why Read This Book?
- •Learn the foundations of data science step by step using Python
- •Covers statistics, machine learning, and deep learning in simple terms
- •Ideal for beginners, students, and self-taught learners
- •Hands-on coding approach—understand algorithms by building them yourself
- •Practical resource for aspiring data scientists and tech professionals
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Data Science from Scratch: First Principles with Python teaches data science fundamentals using clear explanations and hands-on Python examples. Designed for beginners and intermediate learners, this book starts with basic statistics and probability before introducing essential tools such as linear algebra, data visualization, regression, classification, clustering, and neural networks.
Python is used throughout to demonstrate how data science techniques work from first principles without hiding complexity behind advanced libraries.
Readers in Kenya who want a practical foundation in data science will find this book valuable for building real projects, understanding how algorithms work under the hood, and developing the programming skills needed to solve real world data problems.
With project-based exercises and intuitive explanation of concepts, this edition prepares learners for both academic study and industry roles in analytics, machine learning, and AI.
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