Statistical Software for M&E: SPSS and STATA Training in Kisumu, Kenya
Classroom training in Kisumu · next cohort Oct 26, 2026 · from USD 3,000
Evaluation findings are only as credible as the analysis behind them, and many M&E teams still struggle to move from raw survey files to defensible results. The fortnight starts with statistical foundations: variable types, sampling, distributions, confidence intervals and choosing the right test for an indicator. You then learn the SPSS environment, defining variables and value labels, importing data from Excel and mobile collection platforms, and using syntax to make work repeatable. Data cleaning sessions cover recoding, computing new variables, handling missing values, merging files and checking for outliers. Descriptive analysis follows, with frequencies, cross-tabulations, custom tables and charts ready for reports.
Inferential statistics in SPSS include t-tests, ANOVA, chi-square, correlation and linear and logistic regression, all interpreted against programme evaluation questions. The final strand moves to Stata, covering do-files, log files, data management commands, survey weights and producing tables for baseline and endline comparisons. Every exercise uses household survey and programme monitoring datasets similar to those evaluation teams handle. M&E officers, researchers, data analysts and evaluation consultants will find it practical. You finish able to clean a dataset, run appropriate tests in either package and write up results that withstand scrutiny.
At a Glance
Training in Kisumu, Kenya
Kisumu is Kenya's city on Lake Victoria and the commercial centre of western Kenya.
More about training in Kisumu →- Format
- Classroom, in Kisumu
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 3,000 (KES 230,000)
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- Airport
- Kisumu International (KIS)
- Time zone
- East Africa Time (UTC+3)
- Currency
- Kenyan shilling (KES). Fees are listed in USD and KES.
- Business districts
- Milimani and the CBD
About this course
This course provides practitioners with core competencies and practical tools in statistical software for m&e: spss and stata training, combining theoretical frameworks with field-tested approaches drawn from real-world projects.
Participants engage with case studies, complete hands-on exercises, and develop implementation plans they can apply directly to their own work.
Throughout the programme, participants work through realistic scenarios drawn from banking institutions, financial services firms, audit practices, and public finance bodies, examining how statistical software for m&e: SPSS and STATA is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for getting productive in STATA, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
Training Objectives
By the end of this course, participants will be able to:
- Develop robust statistical software for m&e: SPSS and STATA frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from getting productive in STATA.
- Design practical systems that strengthen accountability, transparency and evidence generation.
- Evaluate outcomes and assess longer-term impact across a range of operating contexts.
- Apply relevant tools, frameworks and analytical methodologies confidently and appropriately.
- Integrate inferential statistics in SPSS into existing organizational processes and reporting structures.
- Strengthen decision-making and operational effectiveness through evidence-based professional practice.
What you'll learn
Key Takeaways
By the end of the Statistical Software for M&E: SPSS and STATA Training, participants will leave with:
- A comprehensive working understanding of statistical software for m&e: SPSS and STATA principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in getting productive in STATA, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying statistical software for m&e: SPSS and STATA and assessing measurable results.
- Stronger capability to support organizational learning and continuous performance improvement.
- Improved approaches to strengthening sustainability, accountability and operational effectiveness.
Training Methodology
This training course adopts a practical, participant-centered learning approach that builds statistical software for m&e: SPSS and STATA expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
- Expert-led sessions facilitated by experienced statistical software for m&e: SPSS and STATA practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in getting productive in STATA.
- Real-world case studies drawn from banking institutions, financial services firms, audit practices, and public finance bodies.
- Tool-based demonstrations of the systems, templates and reporting applications used in current practice.
- Interactive discussion and scenario-based learning focused on realistic challenges and decision points.
- Structured group exercises with facilitator feedback, reinforcing learning through practice rather than lecture alone.
Day 1: Statistical Foundations for M&E Analysis
- Aligning indicators, evaluation questions and the analysis they require
- Levels of measurement and how they constrain statistical choices
- Populations, samples and sampling weights in programme surveys
- Variables, units of analysis and analysis plan design
- Choosing between SPSS and STATA for different M&E tasks
- Planning and sequencing statistical foundations for M&E analysis within the wider workflow
- Data, evidence and information requirements for statistical foundations for M&E analysis
Day 2: Navigating the SPSS Environment
- Data View, Variable View, Output Viewer and Syntax Editor
- Defining variable types, labels, value labels and missing value codes
- Importing data from Excel, CSV, KoBo and ODK exports
- Recording and editing syntax for reproducible workflows
- Setting up a project folder and file-naming convention
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of navigating the SPSS environment
Day 3: Data Cleaning and Preparation in SPSS
- Detecting duplicates, outliers and out-of-range values
- Recode, Compute and conditional transformations for indicator construction
- Handling missing data and documenting treatment decisions
- Merging and appending household, individual and facility datasets
- Building a cleaning log and audit trail for data quality assurance
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
Day 4: Descriptive Analysis and Visualisation in SPSS
- Frequencies, descriptives and explore procedures for indicator baselines
- Crosstabulation and layered tables by district, sex and age group
- Custom Tables for donor-ready disaggregation
- Charts, histograms and boxplots through the Chart Builder
- Exporting output to Word and Excel without losing formatting
- Standards, frameworks and good practice governing descriptive analysis and visualisation in SPSS
- Practical tools, templates and techniques for descriptive analysis and visualisation in SPSS
Day 5: Inferential Statistics in SPSS
- Hypothesis testing, confidence intervals and p-value interpretation
- Chi-square tests of association for categorical indicators
- Independent and paired t-tests for pre- and post-intervention comparisons
- One-way and factorial ANOVA with post-hoc comparisons
- Correlation analysis and its limits in attribution claims
- Common challenges, risks and failure points in inferential statistics in SPSS
- Documentation, record-keeping and reporting requirements
Day 6: Getting Productive in STATA
- Command window, do-files, logs and the STATA working directory
- Command syntax structure: by, if, in and weight qualifiers
- Importing, labelling and saving datasets in STATA format
- Writing commented do-files that reproduce an entire analysis
- Installing and using user-written commands from SSC
- Worked example: applying getting productive in STATA in a live statistical software for m&e: SPSS and STATA context
- Planning and sequencing getting productive in STATA within the wider workflow
Day 7: Data Management and Transformation in STATA
- generate, replace, egen and recode for indicator variables
- Reshaping between wide and long formats for panel monitoring data
- Merging, appending and collapsing datasets across survey rounds
- svyset and applying complex survey design and sampling weights
- Assert and duplicates commands for automated data checks
- Decision points and escalation routes in data management and transformation in STATA
- Resourcing, cost and capacity considerations
Day 8: Analysis and Regression Modelling in STATA
- tabulate, summarize and tabstat for disaggregated indicator tables
- Linear regression: specification, assumptions and diagnostics
- Logistic regression for binary outcomes such as service uptake
- Interpreting coefficients, odds ratios and marginal effects
- Robust and clustered standard errors for survey data
- Technology and automation supporting analysis and regression modelling in STATA
- Reviewing outcomes and capturing lessons learned
Day 9: Evaluation Designs and Advanced Applications
- Difference-in-differences estimation for before-and-after comparisons
- Propensity score matching for non-randomised programme evaluation
- Analysing panel and repeated cross-section monitoring data
- Subgroup and equity analysis to test who benefits and who is left out
- Common threats to validity and how to report them honestly
- Core principles and terminology underpinning evaluation designs and advanced applications
- Standards, frameworks and good practice governing evaluation designs and advanced applications
Day 10: Reporting, Automation and Institutionalisation
- Automating tables and graphs with STATA outreg, esttab and putexcel
- Translating statistical output into narrative findings for donors
- Building reusable syntax and do-file templates for recurring reports
- Version control, documentation and analysis handover within teams
- Team workplan: embedding SPSS and STATA routines in the organisation's M&E system
- Roles, responsibilities and stakeholder coordination in reporting, automation and institutionalisation
- Common challenges, risks and failure points in reporting, automation and institutionalisation
SPSS and STATA training for monitoring and evaluation targets practitioners who already handle programme datasets and now need to run, document and defend their own statistical analysis rather than outsource it.
- M&E Officers and M&E Managers responsible for indicator analysis and results reporting
- Data Analysts and Data Management Officers working with survey and routine programme data
- Research Officers and Survey Coordinators running baselines, midlines and endlines
- Evaluation Consultants who deliver quantitative evidence to donors and clients
- Programme Officers who interpret statistical outputs for decision-making
- Health Information and Statistics Officers in ministries, NGOs and research institutions
- MEAL Advisors supervising analysis teams and quality-assuring results
Participants completing the ten-day programme are awarded a Certificate of Completion from Vision Reach Global Consultancy, confirming they can manage, analyse and report monitoring and evaluation datasets using SPSS and STATA, including syntax- and do-file-based workflows that others can reproduce.
Choose Where You Want to Learn
Statistical Software for M&E: SPSS and STATA Training Venues
KenyaKisumuNext Oct 26· 13 dates$3,000Viewing- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaNairobiNext Nov 9· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
South AfricaCape TownNext Oct 26· 13 dates$7,600
TanzaniaZanzibarNext Nov 16· 13 dates$5,200
UAEDubaiNext Oct 26· 13 dates$7,600- South AfricaPretoriaNext Nov 2· 13 dates$6,400
- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaArushaNext Nov 9· 13 dates$3,800
NigeriaAbujaNext Nov 9· 13 dates$5,600- NigeriaLagosNext Nov 16· 13 dates$5,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Statistical Software for M&E: SPSS and STATA Training in Kisumu
Everything you need to know about this course before you register.
Statistical Software for M&E: SPSS and STATA Training runs as classroom training in Kisumu, Kenya, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Kisumu cohort starts on October 26, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Kisumu" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Statistical Software for M&E: SPSS and STATA Training in Kisumu is USD 3,000 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Kisumu, Statistical Software for M&E: SPSS and STATA Training runs as classroom training in Mombasa, Naivasha, Nairobi, and Machakos. It also runs as live online training you can join from anywhere in Kenya, and in-house at your organisation's own premises.
Yes — Statistical Software for M&E: SPSS and STATA Training can be delivered at your offices in Kisumu or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the Statistical Software for M&E: SPSS and STATA Training programme, you'll be able to master core concepts and frameworks in statistical software for m&e: spss and s, apply practical tools and methodologies to your own organizational context, build capacity to lead and manage statistical software for m&e: spss initiatives, and develop implementation strategies aligned with organizational goals. The full breakdown of topics is covered session by session in the Course Outline tab above.
SPSS and STATA training for monitoring and evaluation targets practitioners who already handle programme datasets and now need to run, document and defend their own statistical analysis rather than outsource it. Typical delegates include M&E Officers and M&E Managers responsible for indicator analysis and results reporting, Data Analysts and Data Management Officers working with survey and routine programme data, Research Officers and Survey Coordinators running baselines, midlines and endlines, Evaluation Consultants who deliver quantitative evidence to donors and clients, Programme Officers who interpret statistical outputs for decision-making, Health Information and Statistics Officers in ministries, NGOs and research institutions, and MEAL Advisors supervising analysis teams and quality-assuring results.
Statistical Software for M&E: SPSS and STATA Training typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Statistical Software for M&E: SPSS and STATA Training 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 is pitched at intermediate 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.
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