Use systematic review methods and R to synthesize research evidence and interpret quantitative findings.
Learners develop a review question, document a search and screening strategy, extract study information, and explore effect-size calculation and synthesis. Guided exercises connect statistical choices with study design and interpretation. A scoped review protocol or pilot analysis can serve as a starting point for a larger evidence-synthesis project.
Proposed learning outcomes for this program example:
The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.
Turn public datasets into reproducible analyses using R, research design, regression, and introductory measurement methods.
Build a research workflow from Python data preparation to machine-learning evaluation and an applied project.
Use text, network, and bibliometric data to investigate social questions with transparent computational methods.