About Course
Course purpose
Build practical competence in monitoring, evaluation, research and learning for programmes, public institutions and professional advisory work.
Learning route
- What M&E and learning are
- Monitoring, evaluation, research and audit
- Evidence-function classification
- Results chains and theories of change
- Indicators, data quality and interpretation
Assessment design
Tutor LMS delivers theory and knowledge checks. The DatalytIQs Analytics Lab carries the practical evidence, competency portfolio and protected applied assessment.
Monitoring, Evaluation, Research and Learning (MERL) training
This MERL foundations course provides a structured introduction to monitoring, evaluation, research and learning for people who work with programmes, projects, evidence and organisational performance.
Who this course is for
- Monitoring and evaluation practitioners
- Programme and project staff
- Researchers and analysts
- Public-sector and development-sector professionals
- Professionals who use evidence for programme learning and decisions
What you will explore
- Explore MERL foundations and decision use.
- Explore Distinguishing evidence functions.
- Explore Results and theories of change.
- Explore Indicators and measurement.
- Explore Data quality, ethics and learning.
- Explore Professional evidence checkpoint.
Course curriculum
The current Tutor LMS curriculum contains the following learning areas and activities.
MERL foundations and decision use
- What monitoring, evaluation, research and learning are
- Connect evidence questions to management decisions
- Quiz: MERL Foundations — Theory Check
Distinguishing evidence functions
- Monitoring versus evaluation versus research versus audit
- Classify real organisational evidence requests
Results and theories of change
- Build outputs, outcomes and impact pathways
- Test assumptions and identify risks
Indicators and measurement
- Define SMART indicators and disaggregation
- Set baselines, targets and data sources
Data quality, ethics and learning
- Assess accuracy, completeness, timeliness and integrity
- Use ethical safeguards and learning loops
Professional evidence checkpoint
- Submit an evidence-function classification matrix and a decision-ready indicator note in the Analytics Lab
Learning with DatalytIQs
DatalytIQs Academy connects structured learning with applied analysis, evidence-based thinking and professional practice. Use the course curriculum and learning activities as your primary pathway through this course.
Course Content
MERL foundations and decision use
-
What monitoring, evaluation, research and learning are
-
Connect evidence questions to management decisions
-
MERL Foundations — Theory Check
Distinguishing evidence functions
Results and theories of change
Indicators and measurement
Data quality, ethics and learning
Professional evidence checkpoint
Student Ratings & Reviews
