November 2024
Beginner to intermediate
374 pages
8h 58m
English
Overview
Delve into the world of biostatistics with Python as your companion. This book takes you through practical applications of statistical methods in biomedicine and biotechnology while leveraging Python's powerful data analysis tools. From foundational data cleaning to advanced predictive modeling and biological research, this hands-on guide equips you with the skills to derive actionable insights.
What this Book will help me do
- Master how to clean and describe biological data effectively using Python.
- Gain proficiency in performing hypothesis testing and assessing effect sizes for scientific studies.
- Develop skills in creating predictive models to analyze and interpret complex datasets.
- Understand clinical study designs, perform survival analysis, and conduct meta-analysis.
- Apply Python to analyze biological variables and solve real-world life science research challenges.
Author(s)
Darko Medin has over a decade of expertise in biostatistics and data science. His approach to teaching emphasizes practical applications and bridging theory with hands-on projects. With a passion for life sciences and an ability to simplify complex topics, Darko makes biostatistics accessible and engaging for learners of all levels.
Who is it for?
This book is ideal for life science professionals, researchers, and aspiring biostatisticians who want to integrate Python and biostatistics into their repertoire. Whether you're transitioning from theory to practice or seeking applications that drive research, this book supports your skill development. Prior knowledge in life sciences will help maximize your learning.
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