Courses & Capacity Building
Datapath Research Consultancy offers practical, skills-based training programs designed to strengthen research, data analysis, monitoring and evaluation, and project delivery capacity. Our courses are tailored for students, researchers, professionals, and institutions seeking applied, job-relevant competencies. Training combines conceptual grounding with hands-on application using real datasets and practical exercises.
Data Analysis & Statistical Software
SPSS
Practical training in SPSS for data management, statistical analysis, and interpretation of research findings.
Course Outline
- Introduction to SPSS environment and data setup
- Data cleaning, coding, and transformation
- Descriptive statistics and visualization
- Inferential analysis (t-tests, ANOVA, correlation, regression)
- Interpreting outputs and reporting results
STATA
Applied STATA training covering data management, statistical analysis, and econometric techniques for research, M&E, and policy analysis.
Course Outline
- STATA interface and command structure
- Data import, cleaning, and management
- Descriptive and inferential statistics
- Regression and basic econometric models
- Output interpretation and reporting
Advanced Excel for Research & Analysis
Hands-on Excel training focused on efficient data analysis, visualization, and reporting for research and decision support.
Course Outline
- Data cleaning and validation
- Advanced formulas and functions
- Pivot tables and data summarization
- Charts, dashboards, and visual reporting
- Regression and analytical tools in Excel
R
Introductory training on using R for statistical computing, data analysis, and visualization using open-source tools.
Course Outline
- Introduction to R and RStudio
- Data types, structures, and import
- Data manipulation and cleaning
- Descriptive and basic inferential analysis
- Data visualization and reproducibility basics
Research, Evaluation & Project Skills
Project Management
Practical project management training applicable to research, development, and organizational projects.
Course Outline
- Project planning and scope definition
- Work plans, timelines, and budgeting
- Team coordination and stakeholder management
- Risk identification and mitigation
- Monitoring progress and reporting
Monitoring & Evaluation (M&E)
Comprehensive training on designing and implementing monitoring and evaluation systems for projects and programs.
Course Outline
- Introduction to M&E concepts and principles
- Theory of change and results frameworks
- Indicator development and data sources
- Baseline, midline, and endline studies
- Evaluation methods and reporting
Questionnaire Development
Practical training on designing effective questionnaires for surveys, evaluations, and research studies.
Course Outline
- Translating objectives into research questions
- Question types and response scales
- Questionnaire structure and flow
- Validity, reliability, and bias reduction
- Pre-testing and revision techniques
Academic & Professional Research Writing
Academic Writing & Scholarly Communication
Training focused on academic writing and effective communication of research findings.
Course Outline
- Structuring dissertations and research papers
- Academic writing style and clarity
- Referencing and citation standards
- Presenting tables, figures, and results
- Responding to feedback and revisions
Proposal Writing & Grant Research
Practical guidance on developing research proposals, concept notes, and grant applications aligned with donor requirements.
Course Outline
- Understanding calls for proposals
- Problem statements and justification
- Objectives, methodology, and work plans
- Budgeting and logical frameworks
- Donor compliance and evaluation criteria
Research Ethics & Integrity
Training on ethical principles and professional standards guiding responsible research practice.
Course Outline
- Principles of research ethics
- Informed consent and participant protection
- Data protection and confidentiality
- Ethical approval processes
- Academic integrity and plagiarism
Systematic Reviews & Meta-Analysis
Structured training on evidence synthesis methods for academic, policy, and applied research.
Course Outline
- Introduction to systematic reviews
- Developing review questions and protocols
- Literature search strategies
- Screening and quality appraisal
- Data synthesis and basics of meta-analysis
Course Delivery & Enrollment
- Courses are offered through scheduled intakes and tailored institutional training
- Delivery modes may include in-person, virtual, or blended sessions
- Detailed schedules, fees, and posters are provided per course