Quantitative Reasoning in Biology#
Applied Biostatistics for Life Sciences
Master Statistical Analysis in Biology 🧬
Transform complex biological data into meaningful insights with hands-on statistical methods designed specifically for life sciences research.
Perfect for: Graduate students, researchers, and professionals in microbiology, immunology, and related fields.
What You’ll Learn#
Master essential statistical concepts including hypothesis testing, confidence intervals, and experimental design tailored for biological research.
Work with authentic biological datasets from microbiology and immunology research to solve practical problems you’ll encounter in your career.
Learn statistical analysis using modern tools including Python and Google Colab with step-by-step guided tutorials.
Develop critical thinking skills for experimental design, data interpretation, and scientific communication of statistical results.
Get Started#
Get Oriented
Navigate the interactive features, annotations, and resources to maximize your learning.
Begin Module 1
Jump into your first hands-on experience with Google Colab and essential statistical tools.
Key Features#
🎯 Contextual Learning
Every statistical concept is introduced within authentic biological scenarios, making abstract concepts concrete and memorable.
🔄 Interactive Content
Jupyter notebooks are wonderful exploratory tools for modern large datasets.
📚 Searchable Reference
Quickly find and review past content with full-text search capabilities, perfect for exam prep and research projects.
🔬 Research-Ready
Develop skills directly applicable to your thesis research, lab work, and professional scientific practice.
Extra#
Meet Dr. Dampier
Learn about the educator and researcher behind this textbook, including his teaching philosophy and research background.
MIIM-517 Details
Information about the Drexel course this book accompanies and how to adopt it for your own institution.
License & Usage#
The contents of this book are freely available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
This means you can:
✅ Share and redistribute the material
✅ Use for educational purposes
✅ Reference in your own work
With these conditions:
📝 Provide appropriate attribution
🚫 No commercial use
🚫 No derivative works
1st Edition • Last Updated: 2024