Statistical Software for M&E: SPSS and STATA Training Course
This training course strengthens participants’ capability to use SPSS and STATA for data management, statistical analysis, and evidence-based reporting within monitoring and evaluation activities. Furthermore, it enhanc…
About this course
This training course strengthens participants’ capability to use SPSS and STATA for data management, statistical analysis, and evidence-based reporting within monitoring and evaluation activities. Furthermore, it enhances analytical thinking, interpretation capability, and software application skills that support informed programme decisions. Through this course, participants will:
- Strengthen statistical analysis and interpretation capabilities
- Improve quantitative reporting and visualization practices
- Enhance software-based data management skills
- Support evidence-based monitoring and evaluation processes
- Build confidence in using SPSS and STATA
Key Takeaways
- Practical experience using SPSS and STATA
- Improved capability in statistical data analysis
- Enhanced skills in quantitative interpretation
- Real-world application of analytical software tools
- Increased confidence in evidence-based reporting
What you'll learn
Day 1: Structuring Statistical Analysis Workflows
- Organizing quantitative analysis processes effectively
- Setting up SPSS and STATA work environments
- Managing project datasets within software platforms
- Defining variables and data structures correctly
- Linking indicators with analytical requirements
- Developing organized analysis procedures
- Strengthening efficiency in statistical workflows
Day 2: Data Entry and Dataset Management
- Entering quantitative information into software systems
- Organizing variables and coding structures
- Managing labels and value classifications
- Importing datasets from external sources
- Identifying missing and duplicate information
- Improving consistency within project datasets
- Strengthening reliability of analytical records
Day 3: Data Cleaning and Preparation Techniques
- Correcting errors within project datasets
- Managing incomplete and inconsistent records
- Applying validation and verification techniques
- Organizing datasets for statistical analysis
- Transforming variables for analytical purposes
- Recoding and categorizing project information
- Strengthening readiness for interpretation activities
Day 4: Descriptive Statistical Analysis Methods
- Calculating averages and frequency distributions
- Measuring trends and performance variations
- Organizing statistical summaries effectively
- Comparing project performance indicators
- Interpreting percentages and ratios accurately
- Presenting descriptive findings clearly
- Strengthening understanding of statistical outputs
Day 5: Inferential Statistical Analysis Approaches
- Applying correlation and regression techniques
- Conducting hypothesis testing procedures
- Measuring relationships between project variables
- Comparing groups using statistical methods
- Interpreting significance levels and confidence intervals
- Assessing programme outcomes through analysis
- Strengthening evidence-based analytical conclusions
Day 6: Data Visualization and Reporting Practices
- Creating charts and statistical graphs
- Designing visual summaries for project findings
- Organizing tables for reporting activities
- Presenting analytical outputs clearly
- Improving readability of quantitative information
- Developing stakeholder-friendly reporting formats
- Strengthening communication of numerical results
Day 7: Managing Advanced Statistical Procedures
- Applying multivariate analysis techniques
- Managing cross-tabulation and comparison processes
- Conducting trend and forecasting analysis
- Organizing complex analytical workflows
- Interpreting advanced statistical outputs
- Improving efficiency through software commands
- Strengthening accuracy within analytical processes
Day 8: Interpretation of Statistical Findings
- Translating outputs into practical programme insights
- Linking findings with project objectives
- Identifying operational strengths and gaps
- Supporting planning through statistical evidence
- Comparing expected and achieved project outcomes
- Assessing programme effectiveness using data
- Strengthening evidence-based recommendations
Day 9: Data Quality Assurance and Ethical Practices
- Managing confidentiality of analytical datasets
- Applying ethical standards during analysis activities
- Strengthening data quality assurance procedures
- Reducing bias within interpretation processes
- Managing secure storage of project information
- Promoting transparency within reporting activities
- Supporting accountability through reliable analysis
Day 10: Applying Statistical Analysis for Programme Improvement
- Using analytical findings for project planning
- Supporting adaptive programme management approaches
- Strengthening organizational learning through evidence
- Improving stakeholder decision-making processes
- Supporting policy and programme development
- Managing continuous improvement initiatives
- Exploring emerging trends in statistical analysis
This training course is ideal for:
- Monitoring and Evaluation Officers
- Research and Data Analysis Professionals
- Project and Programme Managers
- NGO and Humanitarian Staff
- Statistics and Information Officers
- Learning and Accountability Specialists
- Policy and Planning Professionals
Upon successful completion, participants will receive a Certificate of Completion in Statistical Software for M&E: SPSS and STATA Training issued by Vision Reach Global Consultancy.
Upcoming cohorts
CPD accredited certificate
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Frequently Asked Questions About Statistical Software for M&E: SPSS and STATA Training Course
Everything you need to know about this course before you register.
By the end of the Statistical Software for M&E: SPSS and STATA programme, you'll be able to manage datasets using spss and stata, apply statistical analysis within m&e activities, interpret quantitative findings accurately, and generate analytical reports using software tools. The full breakdown of topics is covered session by session in the Course Outline tab above.
This training course is ideal for: Monitoring and Evaluation Officers, Research and Data Analysis Professionals, Project and Programme Managers, NGO and Humanitarian Staff, Statistics and Information Officers, Learning and Accountability Specialists, and Policy and Planning Professionals.
Statistical Software for M&E: SPSS and STATA Training Course typically runs as 10 Days. It's available as in-house corporate, in-person classroom, and live virtual training — every course can also be delivered on-site for your team on dates that suit you.
Statistical Software for M&E: SPSS and STATA Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Kisumu, Kenya, and Naivasha, Kenya, and 13 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Statistical Software for M&E: SPSS and STATA starts November 16, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Statistical Software for M&E: SPSS and STATA Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Statistical Software for M&E: SPSS and STATA Training Course is pitched at intermediate to advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Statistical Software for M&E: SPSS and STATA Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 15% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Statistical Software for M&E: SPSS and STATA Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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