Adolescent Health Research Network for Design and Evaluation of Health Interventions and Policies in Sub-Saharan Africa
Think with data from question to publication: research data, exploratory analysis, statistical inference, modelling and AI, and reproducible, ethical reporting.
Each module is a short set of video lessons followed by a checkpoint. Score 70% or more to unlock the next module. Miss a question and we show you the exact minute of video that covers it, plus written study notes, before you try again.
What data science means in research, the six-stage data lifecycle, the three modes of scientific reasoning, and turning research questions into data questions.
Ready4 lessons, 18:02 of video, 10-question checkpoint
Data types and measurement scales, study designs, collecting and cleaning research data, and managing it with FAIR principles and a data management plan.
Ready4 lessons, 19:01 of video, 10-question checkpoint
Describing data honestly: choosing summaries, drawing truthful figures, exploring systematically, and handling outliers and missing data.
Ready4 lessons, 18:57 of video, 10-question checkpoint
Drawing sound inferences: confidence intervals, honest use of p-values, separating correlation from causation, and spotting common reasoning fallacies.
Ready4 lessons, 18:28 of video, 10-question checkpoint
Regression, machine learning and responsible AI in research, and how to choose a method by your goal, your data and interpretability.
Ready4 lessons, 18:33 of video, 10-question checkpoint
Reproducible workflows, data ethics and responsible AI, communicating findings honestly to different audiences, and bringing it together in the capstone.
Ready4 lessons, 18:51 of video, 10-question checkpoint