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Books from the CPD Lending Library

Check out books from the CPD Lending Library. To check something out, visit our office in G-9556 or email us with your request.

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking
By Harvey Motulsky

Interdepartmental Courses

IND 419 Introduction to Quantitative Biology by Drs. Hartmut Land, Thomas Mariani, and Alex Paciorkowski

This is a graduate-level survey course that introduces concepts for the analysis of high volume biological data in the context of important current biological questions. No previous computational experience is required. Course Aims and Objectives: At the end of this course, students should have a deeper understanding of the computational tools involved in the analysis of high volume biological data, focusing on web-based resources but also introducing core approaches in bioinformatics. As an advanced-level course, we will emphasize critical thinking and reading of the primary literature to understand original experiments, rather than abstract facts and memorization. Students’ knowledge, understanding and ability to formulate new ideas will be evaluated through homework and discussions.

BST467, Applied Statistics in the Biomedical Sciences

Semester: Spring
Description: Introduction to statistical techniques with emphasis on applications in the biomedical sciences. Introduction to probability and probability distributions; sampling distributions; estimation, confidence intervals and hypothesis testing in small and large samples; analysis of categorical data; analysis of variance; correlation and linear and nonlinear regression analysis; use of statistical software; illustrations using published articles in the biomedical sciences.
Can students outside the department’s program(s) take it? Yes
BST 467 Syllabus

From Miner Library

Bioinformatics @ Miner

Biostatistics and Computational Biology

From the Department of Biostatistics and Computational Biology

Please visit the  Department of Biostatistics and Computational Biology course webpage for a full list of course schedule and descriptions. 

Online Resources


Statistics and data analysis courses from Coursera
Browse over 50 free online courses.


Data Science at the NIH