This course is designed to give students a working knowledge of different types of data in health care, health data governance, data privacy, data standards, data quality, and selected applied statistical techniques relevant to health care settings. Through this course, students will review common statistical methods used in health research and get familiarized with using SAS to implement these methods for data analysis.In addition, students will learn about clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual understanding of data analytics techniques (Regex, SQL, RapidMiner). The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.