BIOSTAT629: Case Studies in Health Big Data
- Graduate level
- Winter term(s) for residential students;
- 1-2 credit hour(s) for residential students;
- Instructor(s): Nicholas Henderson, Walter Dempsey, (Residential);
- Prerequisites: BIOSTAT 601, BIOSTAT 602, BIOSTAT 650, BIOSTAT 651, BIOSTAT 625, BIOSTAT620
- Description: Being a project-based course, it integrates all competencies learned in HDSC to provide a culminating research experience. Students will work on two to three health big data projects, through which they learn to identify scientific objectives and analytical strategies and report findings through oral presentation and written documents.
- Learning Objectives: Students will learn how to identify a scientific goal of the project and to develop analytic strategies. Students will learn to integrate and apply quantitative skills to handle real-world health big data, including data modification and cleaning, data visualization and scalable computing. From presentations, students will improve their communication skills.
|Department||Program||Degree||Competency||Specific course(s) that allow assessment||BIOSTAT||Health Data Science||MS||Apply quantitative techniques commonly used to summarize and display big public health data||BIOSTAT629||BIOSTAT||Health Data Science||MS||Apply descriptive and inferential methodologies according to the type of study design or sampling technique for answering a particular public health question||BIOSTAT629|