Скачать или смотреть Doing Data Science: Rachel Schutt

Doing Data Science: Straight Talk from the Frontline by Cathy O’Neil and Rachel Schutt is a practical, conversational guide to what data scientists actually do. Based on Schutt’s Columbia University course, it blends theory, case studies, and ethical reflection. The authors define data science as the intersection of statistics, programming, and domain knowledge, focused on solving real problems rather than building models for their own sake.

They outline the full data science process: asking the right question, gathering and cleaning data, exploring it visually and statistically, modeling, interpreting results, and communicating findings. Core topics include exploratory data analysis, feature engineering, prediction, causality, and visualization. The book also discusses large-scale data tools like Hadoop and MapReduce but stresses that technical skill alone isn’t enough.

A central theme is ethics—how bias, privacy, and unintended consequences can undermine even technically correct models. Data scientists, the authors argue, must think critically about the social impact of their work.

In short, the book demystifies the data science workflow, highlights collaboration and communication, and urges practitioners to pair analytical rigor with moral responsibility—making it both a guide for aspiring data scientists and a reflection on the profession’s growing power and duty.