Foundations of Data Science with Python 1st Edition

Foundations of Data Science with Python (1st Edition) by John M. Shea is an essential guide for anyone ready to turn raw data into actionable insight. Written for beginners and early-career professionals alike, this clear, practical introduction blends core statistical concepts, Python programming, and real-world examples to build a strong foundation in data science.

Start by mastering the fundamentals—exploratory data analysis, probability, and linear algebra—then move quickly into hands-on Python techniques for data cleaning, visualization, and basic machine learning. Each chapter emphasizes intuitive understanding and reproducible workflows using popular Python libraries, making the content immediately applicable to business analytics, research, and product development.

What sets this book apart is its balanced approach: rigorous enough for academic use yet practical for industry teams. Whether you’re a student in North America, a professional upskilling in Europe, or a startup engineer in Asia-Pacific, the concepts are presented with global relevance and contemporary examples. SEO-friendly topics covered include data science, Python programming, machine learning fundamentals, data visualization, and predictive modeling.

If you want a structured, approachable path from theory to practice, this volume delivers. Clear explanations, practical code snippets, and thoughtful exercises help you build confidence and competence fast. Add Foundations of Data Science with Python to your shelf and start transforming data into decisions today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.