We are writing this book to introduce R—a programming language and environment for statistical computing and graphics—to public health epidemiologists, health care data analysts, data scientists, statisticians, and others conducting population health analyses. Recent graduates come prepared with a solid foundation in epidemiological and statistical concepts and skills.
However, what is sometimes lacking is the ability to implement new methods and approaches they did not learn in school. This is more apparent today with the emergence of data science and the new field of population health data science (PHDS)—the art and science of transforming data into actionable knowledge to improve health.Lee mas.
The techniques and tools covered in Population Health Data Science with R are most similar to the requirements found in Científico de datos data science job advertisements.
