(2 hours lecture/3 hours laboratory)
3 semester credit hours/meets part of research informatics competencies
Prerequisites: BMI 5007 or consent of instructor
This course provides an overview of the data analysis process, with particular attention paid to the data quality issues encountered with biomedical data. The course will cover the entire data analysis pipeline from needs analysis to presentation of final results. The course is primarily project-based. The projects will cover a wide variety of biomedical data, including bioinformatics, clinical, public health, and literature datasets. Students will implement their analysis in Python and present their work in a variety of presentation formats.
Course Learning Objectives: After taking BMI 5353, students will be able to...