ENVIRONMENTS AND TOOLS FOR LARGE-SCALE BEHAVIORAL DATA SCIENCE

Prerequisites & course information

Requisites: PSYCH 750 and 752 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Use online crowd-sourcing platforms for collecting behavioral data, such as Amazon Mechanical Turk, and understand issues of design, sampling, and interpretation associated with such platforms. Audience: Graduate 2. Use integrated tools for conducting, documenting, and publishing complex behavioral data analyses, including JuPyTeR notebooks and R Markdown. Audience: Graduate 3. Use the GitHub platform to conduct collaborative behavioral data science, including documentation, analysis development, versioning, forking and merging. Audience: Graduate 4. Use the SQL database management system to manage large behavioral datasets Audience: Graduate 5. Use docker containers and related tools for ensuring fully transparent and replicable behavioral data science Audience: Graduate 6. Understand how to access and use high-throughput and high-performance infrastructure for computationally expensive jobs, and when use of these platforms is warranted. Audience: Graduate Learning Outcomes: 1. Use online crowd-sourcing platforms for collecting behavioral data, such as Amazon Mechanical Turk, and understand issues of design, sampling, and interpretation associated with such platforms. Audience: Graduate 2. Use integrated tools for conducting, documenting, and publishing complex behavioral data analyses, including JuPyTeR notebooks and R Markdown. Audience: Graduate 3. Use the GitHub platform to conduct collaborative behavioral data science, including documentation, analysis development, versioning, forking and merging. Audience: Graduate 4. Use the SQL database management system to manage large behavioral datasets Audience: Graduate 5. Use docker containers and related tools for ensuring fully transparent and replicable behavioral data science Audience: Graduate 6. Understand how to access and use high-throughput and high-performance infrastructure for computationally expensive jobs, and when use of these platforms is warranted. Audience: Graduate