Data Science

Discover data science titles selected by RCL editors. Resources for College Libraries (RCL) features core titles for academic libraries, curated by Choice/ACRL subject specialists. In Syndetics Unbound, RCL Librarians recommend a selection of the 90,000+ titles available at

Updated January 9, 2024
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The 9 pitfalls of data science
Smith, Gary
Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9...
AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond
Voulgaris, Zacharias
Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a...
Business data science : combining machine learning and economics to optimize, automate, and accelerate business decisions
Taddy, Matt
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame...
Dark data : why what you don't know matters
Hand, D. J.
A practical guide to making good decisions in a world of missing data In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as...
Data feminism
D'Ignazio, Catherine
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police,...
Data science
Kelleher, John D.
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data. Today data science...
Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Gressling, Thorsten
The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity - data science - includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights...
Data Science Using Python and R
Larose, Daniel T.
Learn data science by doing data science!  Data Science Using Python and R will get you plugged into the world's two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data...
Data smart : using data science to transform information into insight
Foreman, John W.
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to...
Digital geographies
Ash, James
As digital technologies have become part of everyday life, mediating tasks such as work, travel, consumption, production, and leisure, they are having increasingly profound effects on phenomena that are of immediate concern to geographers. These include: the production of space, spatiality and...
Our data, ourselves : a personal guide to digital privacy
Lipton, Jacqueline D.
A practical, user-friendly handbook for understanding and protecting our personal data and digital privacy.   Our Data, Ourselves addresses a common and crucial question: What can we as private individuals do to protect our personal information in a...
Practical statistics for data scientists 50+ essential concepts using R and Python
Bruce, Peter C.
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 second edition of this popular guide adds comprehensive examples in Python, provides...
Queer data : using gender, sex and sexuality data for action
Guyan, Kevin
Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data?This important book is the first to look at queer data - defined as data relating to gender, sex, sexual orientation and...
Text as data : a new framework for machine learning and the social sciences
Grimmer, Justin
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives...

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