Data Science and Analytical Reasoning in Scientific Research
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.
- Level
- Intermediate
- Modules
- 6 live, 0 coming
- Video
- 112 min
- Language
- English
How this course works
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. After the last module, a final exam earns your certificate.
- 01
Foundations: Thinking with Data in Scientific Research
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
- 02
Research Data: Types, Collection and Management
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
- 03
Exploratory Data Analysis and Visualisation
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
- 04
Statistical Inference and Analytical Reasoning
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
- 05
Modelling, Machine Learning and AI in Research
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
- 06
Reproducibility, Ethics and Communicating Data-Driven Findings
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
Final exam and certificate
20 questions from across the course. Score 14 or more to get your certificate of completion.
Pass every module to unlock
