R Programming for Public Health Data Analysis
Learn Statistics, Epidemiology Data, Disease Trends, Visualization, and Research Reports with RStudio (Computer Programming Made Easy, Book 13)
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R Programming for Public Health Data Analysis
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Czyta:
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Esthen Lambert
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Autor:
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Ryan J. Mercer
Public health runs on data—but data only becomes useful when you know how to analyze it, visualize it, and turn it into clear research insights.
R Programming for Public Health Data Analysis is a practical beginner-friendly guide for students, analysts, researchers, and public health professionals who want to use RStudio to work with real-world health data more confidently.
Inside this audiobook, you’ll learn how R can help you organize datasets, run basic statistics, examine epidemiology data, track disease trends, create useful visualizations, and prepare cleaner research reports. Instead of getting buried in confusing code, you’ll build step-by-step skills that make public health data easier to understand and communicate.
This guide is designed for listeners who want practical explanations, not overwhelming theory. You’ll discover how R applies to health surveys, outbreak patterns, population data, risk factors, incidence, prevalence, and everyday research workflows.
Whether you are learning public health analytics for school, work, research, or career growth, this audiobook gives you a clear foundation for using R as a powerful data analysis tool.
Learn the code. Understand the data. Communicate the story behind the numbers.
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