Data science is a recently emerged field increasingly used in various areas and applications in industry, academia, and government. Health Data Science refers to the application of Data Science methods and principles to large real-world complex data and problems in health. Some examples include health administrative data, electronic health records, clinical registries, while these can be also linked with Patient Recorded Outcomes, Genomic Data, Lab data among others. This course will provide an introduction to data science and how it can be useful for applications in population health and public health outcomes. The focus will be on Data Science analytics methods, such as applied machine and statistical learning, using the R statistical software system. Some theoretical background will be presented but the focus will be on hands-on practical application using large health data.