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Got data? Check out the NIH Library’s Data Science eBooks and Resources!

Got Data Image

Are you wrestling with the best way to manage your data? The NIH Library can help with its robust collection of eBooks on data management, data visualization, and programming languages. Check out some of the data science eBooks from the NIH Library’s extensive online collection below:


Building Responsive Data Visualization for the Web, 2015

Data Science & Big Data Analytics: Analyzing, Visualizing and Presenting Data, 2015

Discovering Knowledge in Data: An Introduction to Data Mining, Second Edition, 2014

From Big Data to Smart Data, 2015

Fundamentals of Big Data Network Analysis for Research and Industry, 2016

Machine Learning in Medicine – a Complete Overview, 2015



Biomedical Image Analysis Recipes in MATLAB: For Life Scientists and Engineers, 2015

Essential MATLAB for Engineers and Scientists, 2013

An Introduction to MATLAB Programming and Numerical Methods for Engineers, 2015

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB, 2015

Text Mining with MATLAB, 2013


Python eBooks

Machine Learning in Python: Essential Techniques for Predictive Analysis, 2015

Python Projects, 2015


R eBooks

Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, 2013

A Course in Statistics with R, 2016

The R Book, 2013


Explore the NIH Library’s full eBook collection to find more books about data sciences and other topics! Learn more about the NIH Library’s extensive Data Services Program including consultation, training classes, and additional resources on data management and data science topics in the Data Services section of the NIH Library website.

The NIH Library in Building 10 serves the information needs of NIH staff and select Department of Health and Human Services (HHS) agencies. The NIH Library is part of the Office of Research Services (ORS) in the Office of the Director (OD).