DatalytIQs learning pathway
Strengthen monitoring, evaluation, research and learning through rigorous design, field methods, data quality and evidence use.
This pathway organises existing Institute courses into a coherent learning journey. Course availability, workload and assessment requirements are shown on each course page.
Who this pathway serves
MERL officers, researchers, development practitioners, programme managers and policy teams.
Recommended sequence
Move from results thinking and research design to sampling, tools, field quality, analysis, reporting and decision use.
Capabilities developed
- Results frameworks
- Defensible sampling
- Ethical data collection
- Quality assurance
- Analytical reporting
- Learning for decisions
Current course route
MERL Foundations; Questionnaire Design; KoboToolbox; Sampling; Field Data Quality Assurance; Survey Data Analysis; Report Writing.
View courses in this pathway Return to Academy
Learning and assessment
Lessons may include guided notes, worked examples, practice activities, downloadable resources and quizzes. Any external examination remains governed by its awarding body. Institute completion evidence does not imply endorsement by an examining body unless explicitly stated.
Access, support and progression
Review each course page for prerequisites and access terms before enrolment. Learners should complete activities in sequence, use the available tutor-support channel, and retain project or assessment evidence where required.
Frequently asked questions
Can I begin without prior experience?
Entry requirements vary. Begin with the introductory course where one is identified, and check the prerequisites on the selected course page.
Are all courses paid?
No. The Institute may offer free and paid learning. The applicable access model is displayed before enrolment or checkout.
Will I receive a certificate?
Certificate eligibility depends on the individual course, completion requirements and assessment status. Consult the course page for the applicable conditions.