Data Science for Infectious Disease Data Analytics

Discover the essential resource for public health professionals and data analysts in "Data Science for Infectious Disease Data Analytics" by Lily Wang. Published in 2022 by Taylor & Francis Ltd, this hardback edition spans 397 pages and offers a comprehensive guide to epidemiological data visualization and analysis using R.

This insightful book bridges the gap between academic theory and practical application, featuring a variety of engaging and instructive data analysis examples. It includes the most recent data, including insights from the newly discovered COVID-19, making it a timely addition to any data analyst's library. Whether you're a seasoned professional or a newcomer to the field, this book equips you with the tools to effectively analyze and visualize critical infectious disease data.