Training on Statistics for Policy Makers
Build the skills to interpret and apply data in public decision-making with our Statistics for Policy Makers course—turn data into actionable policy insights.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course equips policy makers, government officers, and development professionals with the statistical knowledge and tools required to make evidence-based decisions. Participants will learn how to interpret, analyze, and communicate statistical data effectively to inform policy formulation, implementation, and evaluation. The training bridges the gap between technical data analysis and real-world policy application, emphasizing clarity, accuracy, and impact. Through practical sessions and case studies, participants gain the confidence to use statistics as a strategic tool for effective governance and sustainable development.
Duration
5 Days
Who Should Attend
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Policy makers, legislators, and government officers
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Program managers and development planners
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Researchers and data analysts in the public sector
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Monitoring and Evaluation (M&E) professionals
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Advisors and consultants involved in policy design and implementation
What you'll walk away with
By the end of the course, participants will be able to:
- Understand key statistical concepts relevant to policy development and evaluation.
- Analyze and interpret data to support policy recommendations.
- Translate complex statistical findings into accessible information for decision-makers.
- Apply statistical tools to monitor and evaluate policy outcomes.
- Use real-world data to develop evidence-based policy strategies.
What we cover, module by module
Module 1: Understanding Statistics in the Policy Context
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Importance of statistics in modern governance
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Differentiating between descriptive and inferential statistics
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Interpreting data for social and economic policy
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Case Study: Using statistical data to shape education policy reforms
Module 2: Data Collection, Sources, and Quality Assurance
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Identifying reliable sources of policy-relevant data
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National and international data systems and repositories
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Ensuring data accuracy, reliability, and representativeness
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Case Study: Evaluating data sources in healthcare policy decisions
Module 3: Statistical Tools for Policy Analysis
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Introduction to key tools: Excel, SPSS, and R for policy data analysis
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Basic statistical testing and modeling for policy evaluation
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Trend, regression, and correlation analysis for forecasting
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Case Study: Assessing employment trends to inform labor market policy
Module 4: Communicating Statistical Findings for Decision-Making
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Simplifying data for non-technical audiences
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Data visualization and storytelling for policy advocacy
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Writing policy briefs with statistical evidence
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Case Study: Translating complex economic indicators into actionable insights
Module 5: Applying Statistics in Policy Evaluation and Impact Assessment
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Designing evidence-based policy evaluations
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Measuring program outcomes and social impacts
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Using statistics for performance reporting and accountability
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Case Study: Evaluating poverty reduction initiatives using national survey data
Where the change lands
Organizational Impact:
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Enhances data-driven decision-making across departments
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Improves policy planning, monitoring, and evaluation outcomes
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Builds institutional capacity in evidence-based governance
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Strengthens accountability and transparency in public programs
Individual Impact:
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Strengthens ability to interpret and apply statistical evidence in policy contexts
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Improves confidence in communicating statistical results to non-technical audiences
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Develops practical skills in analyzing socio-economic and demographic data
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Enhances decision-making and strategic planning capabilities
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Statistics for Policy Makers in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.