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Policy Research and Development Analytics Training Course

Online Training Download PDF
Upcoming Training Schedules 14 locations
Location Duration Next Start Date Dates Available Action
Nairobi, Kenya 10 days Jul 13, 2026 104 dates
Accra, Ghana 10 days Jul 13, 2026 31 dates
Addis Ababa, Ethiopia 10 days Jul 20, 2026 31 dates
Cape Town, South Africa 10 days Jul 13, 2026 52 dates
Dar es Salaam, Tanzania 10 days Aug 31, 2026 26 dates
Dubai, UAE 10 days Jul 20, 2026 52 dates
Istanbul, Turkey 10 days Jul 20, 2026 16 dates
Kampala, Uganda 10 days Aug 3, 2026 31 dates
Kigali, Rwanda 10 days Jul 13, 2026 52 dates
Kuala Lumpur, Malaysia 10 days Jul 13, 2026 31 dates
Mombasa, Kenya 10 days Jul 27, 2026 52 dates
Pretoria, South Africa 10 days Jul 13, 2026 52 dates
Singapore 10 days Aug 10, 2026 31 dates
Zanzibar, Tanzania 10 days Aug 10, 2026 16 dates

Policy Research and Development Analytics Training Course

Course Introduction

Policy Research and Development Analytics has become an essential discipline for governments, international development agencies, non-governmental organizations, research institutions, and private sector organizations seeking to formulate evidence-based policies, improve development outcomes, and strengthen strategic decision-making. In an era characterized by complex socio-economic challenges, rapid technological change, climate change, public health concerns, and sustainable development priorities, effective policy analysis requires advanced research methodologies, data analytics, impact assessment techniques, and evidence-based planning frameworks. This comprehensive training course equips participants with the practical skills and analytical tools necessary to conduct policy research, evaluate development interventions, generate actionable insights, and support informed policy formulation.

The course integrates Policy Analysis, Development Research, Quantitative and Qualitative Research Methods, Monitoring and Evaluation (M&E), Statistical Analysis, Data Analytics, Public Policy Development, Governance Analysis, Impact Evaluation, Big Data Analytics, Artificial Intelligence for Policy Research, Geographic Information Systems (GIS), and Development Planning. Participants will learn how to collect, manage, analyze, interpret, and communicate data effectively to influence policy decisions and improve program effectiveness. Through practical exercises, case studies, simulations, and real-world examples, participants will gain hands-on experience in applying analytical frameworks to complex development challenges.

As governments and development organizations increasingly prioritize Results-Based Management, Sustainable Development Goals (SDGs), Evidence-Based Policymaking, Public Sector Innovation, and Data-Driven Governance, there is growing demand for professionals capable of conducting rigorous policy research and translating evidence into practical policy recommendations. This course provides participants with advanced competencies in policy design, economic analysis, social research, institutional assessment, stakeholder analysis, forecasting, and strategic planning. Participants will also learn how emerging technologies such as Artificial Intelligence, Machine Learning, Business Intelligence Systems, and Predictive Analytics are transforming policy research and development planning.

By the end of the training, participants will be able to design and implement policy research projects, conduct development analytics, evaluate public policies and programs, prepare policy briefs, develop evidence-based recommendations, and support strategic decision-making processes. The course prepares professionals to address emerging policy challenges and contribute effectively to sustainable development, governance reforms, social transformation, economic growth, and institutional strengthening initiatives.

Course Objectives

Upon completion of this course, participants will be able to:

1.     Understand policy research frameworks and development analytics methodologies.

2.     Design and implement policy research studies.

3.     Apply quantitative and qualitative research techniques.

4.     Conduct policy analysis and evidence-based decision-making.

5.     Utilize statistical software and data analytics tools.

6.     Evaluate development programs and public policies.

7.     Develop policy briefs and strategic recommendations.

8.     Apply monitoring, evaluation, and learning frameworks.

9.     Integrate GIS, AI, and predictive analytics into policy research.

10.  Support sustainable development planning and governance reforms.

Organization Benefits

Organizations sponsoring participants will benefit through:

1.     Improved evidence-based policy formulation and planning.

2.     Enhanced decision-making through advanced analytics.

3.     Better program design, implementation, and evaluation.

4.     Increased effectiveness of development interventions.

5.     Stronger monitoring and evaluation systems.

6.     Improved resource allocation and strategic planning.

7.     Enhanced policy impact assessment capabilities.

8.     Increased institutional accountability and transparency.

9.     Better stakeholder engagement and policy communication.

10.  Stronger organizational capacity for sustainable development initiatives.

Target Participants

·       Policy Analysts

·       Government Officials

·       Development Practitioners

·       Monitoring and Evaluation Specialists

·       Researchers and Academics

·       Program Managers

·       Project Coordinators

·       Economists and Development Planners

·       Public Sector Managers

·       NGO and Civil Society Professionals

·       Data Analysts and Statisticians

·       Governance Specialists

·       Donor Agency Staff

·       Consultants and Advisors

·       Sustainable Development Professionals

Course Outline

Module 1: Foundations of Policy Research and Development Analytics

·       Introduction to policy research concepts

·       Public policy development frameworks

·       Evidence-based policymaking principles

·       Development planning methodologies

·       Policy cycle and governance processes

·       Case Study: Evidence-based policy reform initiative

Module 2: Research Design and Methodology

·       Research problem identification

·       Research design frameworks

·       Quantitative research methodologies

·       Qualitative research approaches

·       Mixed-methods research techniques

·       Case Study: Development research project design

Module 3: Data Collection and Management

·       Survey design and administration

·       Key informant interviews and focus groups

·       Digital data collection tools

·       Data quality assurance systems

·       Data management and storage

·       Case Study: National development survey implementation

Module 4: Statistical Analysis and Development Analytics

·       Descriptive and inferential statistics

·       Statistical software applications

·       Data cleaning and preparation

·       Trend analysis and forecasting

·       Development indicators analysis

·       Case Study: Socio-economic data analysis

Module 5: Policy Analysis and Evaluation Techniques

·       Policy analysis frameworks

·       Cost-benefit and cost-effectiveness analysis

·       Regulatory impact assessment

·       Policy alternatives evaluation

·       Decision analysis tools

·       Case Study: Public policy evaluation

Module 6: Monitoring, Evaluation, and Learning (MEL)

·       Results-based management systems

·       Monitoring and evaluation frameworks

·       Theory of Change development

·       Performance measurement systems

·       Learning and adaptive management

·       Case Study: Development program evaluation

Module 7: Impact Assessment and Development Effectiveness

·       Impact evaluation methodologies

·       Experimental and quasi-experimental designs

·       Outcome harvesting techniques

·       Development effectiveness measurement

·       Social return on investment analysis

·       Case Study: Impact assessment of social programs

Module 8: GIS and Spatial Analytics for Policy Research

·       Introduction to GIS applications

·       Spatial data analysis techniques

·       Mapping development indicators

·       Geographic targeting methodologies

·       Spatial decision support systems

·       Case Study: GIS-based development planning

Module 9: Big Data, AI, and Predictive Analytics

·       Big data applications in policy research

·       Artificial Intelligence for governance

·       Machine learning and predictive modeling

·       Real-time analytics systems

·       Data visualization and dashboards

·       Case Study: AI-driven policy forecasting

Module 10: Governance, Institutions, and Stakeholder Analysis

·       Governance assessment frameworks

·       Institutional capacity analysis

·       Political economy analysis

·       Stakeholder mapping techniques

·       Participatory policy development

·       Case Study: Governance reform assessment

Module 11: Policy Communication and Knowledge Management

·       Policy brief writing techniques

·       Research reporting and dissemination

·       Strategic communication approaches

·       Data storytelling and visualization

·       Knowledge management systems

·       Case Study: Influencing policy through research evidence

Module 12: Sustainable Development and Future Policy Trends

·       Sustainable Development Goals (SDGs)

·       Climate change policy analysis

·       Inclusive development planning

·       Digital governance and innovation

·       Future trends in policy research

·       Case Study: SDG-focused policy analytics

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.

 

 

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya