AI-Assisted Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Peter Bruce(Author)
O'Reilly (Publisher)
3rd Edition
Will be published approx. on 31. July 2026
Book
Paperback/Softback
400 pages
979-8-3416-6628-3 (ISBN)
Description
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows.
This book highlights concepts that matter most when working with data, building predictive models, and deploying AI responsibly. If you're comfortable with R or Python and have had some exposure to basic statistics, this concise reference will boost your statistical literacy, your understanding of how AI works, and your confidence in real-world data science and AI projects.
Conduct exploratory analysis of data to improve quality and model outcomes
Apply sampling and experimental design to reduce bias and answer questions with clarity
Use regression to understand data-generating processes and detect anomalies
Build predictive models using classification, clustering, and unsupervised learning with unbalanced data
This book highlights concepts that matter most when working with data, building predictive models, and deploying AI responsibly. If you're comfortable with R or Python and have had some exposure to basic statistics, this concise reference will boost your statistical literacy, your understanding of how AI works, and your confidence in real-world data science and AI projects.
Conduct exploratory analysis of data to improve quality and model outcomes
Apply sampling and experimental design to reduce bias and answer questions with clarity
Use regression to understand data-generating processes and detect anomalies
Build predictive models using classification, clustering, and unsupervised learning with unbalanced data
More details
Edition
3rd Revised edition
Language
English
Place of publication
Sebastopol
United States
Edition type
Revised edition
Dimensions
Height: 232 mm
Width: 178 mm
ISBN-13
979-8-3416-6628-3 (9798341666283)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
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Peter Bruce | Andrew Bruce | Peter Gedeck
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Book
06/2020
2nd Edition
O'Reilly
€99.22
Shipment within 15-20 days
Person
Peter Bruce is the Founder of the Institute for Statistics Education at Statistics.com, which offers about 80 courses in statistics and analytics, roughly half of which are aimed at data scientists. He has authored or co-authored several books in statistics and analytics, and he earned his Bachelor's degree at Prin