Data Science: A First Introduction with Python Authors: Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, Lindsey Heagy

Data Science: A First Introduction with Python is a thoughtfully crafted guide designed to help beginners develop a solid foundation in data science using Python. Written by a team of experienced educators—Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, and Lindsey Heagy—this book brings clarity and structure to what can often be an overwhelming field.

Part of the CRC Press Data Science Series, the book introduces essential concepts including data wrangling, visualization, statistical thinking, and machine learning—all through approachable explanations and hands-on examples. Each chapter emphasizes practical implementation using Python tools such as Pandas, Matplotlib, and Scikit-learn, empowering readers to analyze real-world datasets and draw meaningful insights.

Highlights include:

Clear introductions to core data science tasks

Step-by-step coding tutorials and illustrations

Pedagogical design rooted in active learning

Exercises tailored to reinforce understanding

Collaborative projects and reproducible workflows

Whether you’re a university student, aspiring analyst, or a professional making your first leap into data science, this book offers both the knowledge and confidence to start building analytical solutions. It embraces the ethos of open science and reproducibility, making it an ideal resource for self-learners and educators alike.