![]() ![]() What is very helpful is that one does not have to have programming skills to enjoy the interactive sections of the book. Most of the reference books in this domain lack exact relevance for the clinician but this reference is much more relatable. This volume on biomedical data science is an excellent reference for all those interested in data science in the healthcare domain. AIM Magazine Book Review Review of Introduction to Biomedical Data Science Key features: Real healthcare datasets are used for examples and exercises Knowledge of a programming language or higher math is not required Multiple free or open source software programs are presented YouTube videos are embedded in most chapters Extensive resources chapter for further reading and learning PowerPoints and an Instructor Manual. ![]() Visit the companion website at for more information. The textbook is available as a paperback and ebook. In between, important topics are covered such as biostatistics, data visualization, database systems, big data, programming languages, bioinformatics, and machine learning. The textbook begins with an overview of what biomedical data science is and then embarks on a tour of topics beginning with spreadsheet tips and tricks and ending with artificial intelligence. Introduction to Biomedical Data Science aims to fill the data science knowledge gap experienced by many clinical, administrative, and technical staff. ![]()
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