Advanced Statistical Computing

3 credits · Graduate School

This course introduces advanced computing and analytical skills and concepts in biomedical data sciences. The course covers real-world data platforms, diverse analytics environments, statistical data analysis in Python, numerical methods, bioinformatics computing, cloud computing, and data visualization. The objective of the course is to enable students to adapt to the computational challenges required by today’s biomedical data sciences and big data computing, and to equip them with the knowledge and skills to solve real-world problems. Students are expected to analyze big complex data in cloud-based computing and data analysis environments. The course involves substantial programming in R, Python, SQL, and shell scripts. This course is open to biostatistics PhD students only; for students in other programs, instructor permission is required to enroll. Prerequisites: BIOS 6301 and BIOS 6342. [3]