Live Online Quantitative Data Analysis for M&E Training
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
Survey and monitoring datasets are only useful when someone can turn them into sound conclusions about whether a programme is reaching its targets and changing outcomes. Ten days give you room to build that skill, beginning with levels of measurement, indicator types and how analysis plans flow from an M&E framework. Descriptive statistics sessions cover frequencies, percentages, means, medians, dispersion and disaggregation by sex, age and location. You will then clean and prepare data by checking ranges, handling missing values, recoding variables, creating composite indices and applying survey weights.
Inferential modules explain sampling error, confidence intervals, hypothesis testing, t-tests, chi-square, correlation and regression, always in terms of programme questions rather than abstract theory. Outcome analysis covers baseline-endline comparisons, difference-in-differences and interpreting effect sizes with appropriate caution. Software days practise these techniques in tools such as SPSS, Stata, R or Excel, producing tables and charts ready for reports. M&E officers, data analysts, researchers and programme managers who handle survey data will find it applicable. You finish able to analyse programme data rigorously and present statistics that non-specialists understand.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
This course provides practitioners with core competencies and practical tools in quantitative data analysis for m&e 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 quantitative data analysis for M&E 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 inferential statistics, 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 quantitative data analysis for M&E frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from inferential statistics.
- 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 quantitative analysis in M&E 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 Quantitative Data Analysis for M&E Training, participants will leave with:
- A comprehensive working understanding of quantitative data analysis for M&E principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in inferential statistics, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying quantitative data analysis for M&E 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 quantitative data analysis for M&E 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 quantitative data analysis for M&E practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in inferential statistics.
- 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: Foundations of Quantitative Analysis in M&E
- The role of quantitative data in M&E systems
- Types of quantitative data and measurement scales
- Planning quantitative analysis from indicator design
- Ensuring data quality before analysis begins
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
- Core principles and terminology underpinning foundations of quantitative analysis in M&E
Day 2: Descriptive Statistics for M&E
- Calculating and interpreting measures of central tendency and dispersion
- Summarizing indicator data descriptively
- Using frequency distributions and cross-tabulations
- Presenting descriptive statistics clearly
- Standards, frameworks and good practice governing descriptive statistics for M&E
- Practical tools, templates and techniques for descriptive statistics for M&E
- Roles, responsibilities and stakeholder coordination in descriptive statistics for M&E
Day 3: Data Cleaning and Preparation
- Cleaning quantitative datasets for analysis
- Identifying and handling missing data and outliers
- Structuring datasets for statistical software
- Documenting data cleaning decisions
- Planning and sequencing data cleaning and preparation within the wider workflow
- Data, evidence and information requirements for data cleaning and preparation
- Decision points and escalation routes in data cleaning and preparation
Day 4: Inferential Statistics Fundamentals
- Understanding sampling and statistical inference
- Conducting hypothesis tests relevant to M&E questions
- Interpreting confidence intervals and significance
- Avoiding common statistical misinterpretations
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of inferential statistics fundamentals
- Technology and automation supporting inferential statistics fundamentals
Day 5: Analyzing Programme Outcomes
- Comparing outcomes across groups, time periods and locations
- Conducting basic regression analysis for M&E
- Controlling for confounding factors
- Interpreting regression results for programme decisions
- Decision points and escalation routes in analyzing programme outcomes
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of analyzing programme outcomes
Day 6: Using Statistical Software for M&E Analysis
- Introduction to statistical software for M&E data analysis
- Importing and structuring M&E data in software
- Running and interpreting common analyses
- Exporting outputs for reporting
- Technology and automation supporting using statistical software for M&E analysis
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
Day 7: Disaggregation and Equity Analysis
- Disaggregating quantitative data by demographic and geographic variables
- Analyzing equity dimensions in programme results
- Avoiding masking of subgroup differences
- Reporting disaggregated results responsibly
- Common challenges, risks and failure points in disaggregation and equity analysis
- Documentation, record-keeping and reporting requirements
- Measuring performance and assuring quality in disaggregation and equity analysis
Day 8: Trend and Time-Series Analysis
- Analyzing trends in indicator data over time
- Distinguishing genuine trends from noise
- Using time-series data to inform programme adaptation
- Visualizing trends for decision-makers
- Worked example: applying trend and time-series analysis in a live quantitative data analysis for M&E context
- Planning and sequencing trend and time-series analysis within the wider workflow
- Data, evidence and information requirements for trend and time-series analysis
Day 9: Presenting Quantitative Findings
- Structuring quantitative findings for M&E reports
- Choosing appropriate tables and charts for numeric data
- Avoiding statistical jargon with non-technical audiences
- Presenting quantitative evidence persuasively
- Measuring performance and assuring quality in presenting quantitative findings
- Worked example: applying presenting quantitative findings in a live quantitative data analysis for M&E context
- Planning and sequencing presenting quantitative findings within the wider workflow
Day 10: Applied Quantitative Analysis Project
- Conducting a complete quantitative analysis on real or sample M&E data
- Documenting the analysis methodology
- Presenting findings to a programme audience
- Building a personal quantitative analysis toolkit
- Data, evidence and information requirements for applied quantitative analysis project
- Decision points and escalation routes in applied quantitative analysis project
- Resourcing, cost and capacity considerations
This course is for M&E staff who need statistical rigor to turn numeric monitoring data into credible evidence of programme performance.
- M&E Officers Analyzing Quantitative Data
- Research and Evaluation Consultants
- Government Planning and Statistics Officers
- Donor Programme Officers Reviewing Quantitative Results
- Academic Researchers Teaching Quantitative Methods
- NGO Impact Measurement Specialists
- Finance Managers and Controllers
Participants who complete the ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to conduct rigorous quantitative data analysis for M&E purposes.
Issued on completion of the programme, the certificate evidences both attendance and active participation, and is accepted by employers and professional bodies across the public, private and development sectors. Verification is available from Vision Reach Global Consultancy on request.
Choose Where You Want to Learn
Quantitative Data Analysis for M&E Training Venues
KenyaMombasaNext Nov 2· 13 dates$3,200- KenyaNaivashaNext Nov 9· 13 dates$3,000
- KenyaNairobiNext Nov 16· 13 dates$3,000
- KenyaKisumuNext Nov 2· 13 dates$3,000
- KenyaMachakosNext Nov 9· 13 dates$3,200
UgandaKampalaNext Nov 9· 13 dates$3,800
RwandaKigaliNext Nov 2· 13 dates$3,800
South AfricaCape TownNext Nov 2· 13 dates$7,600
TanzaniaZanzibarNext Nov 23· 13 dates$5,200
UAEDubaiNext Nov 2· 13 dates$7,600- South AfricaPretoriaNext Nov 9· 13 dates$6,400
- South AfricaJohannesburgNext Nov 9· 13 dates$6,800
- TanzaniaDodomaNext Nov 2· 13 dates$3,600
- TanzaniaDar es SalaamNext Nov 2· 13 dates$4,000
- TanzaniaArushaNext Nov 16· 13 dates$3,800
NigeriaAbujaNext Nov 16· 13 dates$5,600- NigeriaLagosNext Nov 23· 13 dates$5,600
GhanaAccraNext Nov 23· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Quantitative Data Analysis for M&E Training
Everything you need to know about this course before you register.
By the end of the Quantitative Data Analysis for M&E Training programme, you'll be able to master core concepts and frameworks in quantitative data analysis for m&e train, apply practical tools and methodologies to your own organizational context, build capacity to lead and manage quantitative data analysis for m&e 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.
This course is for M&E staff who need statistical rigor to turn numeric monitoring data into credible evidence of programme performance. Typical delegates include M&E Officers Analyzing Quantitative Data, Research and Evaluation Consultants, Government Planning and Statistics Officers, Donor Programme Officers Reviewing Quantitative Results, Academic Researchers Teaching Quantitative Methods, NGO Impact Measurement Specialists, and Finance Managers and Controllers.
Quantitative Data Analysis for M&E 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.
Quantitative Data Analysis for M&E Training is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 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 Quantitative Data Analysis for M&E Training starts November 2, 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 Certificate of Completion for Quantitative Data Analysis for M&E Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Quantitative Data Analysis for M&E 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.
Fees for Quantitative Data Analysis for M&E Training 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 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Quantitative Data Analysis for M&E Training 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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