Impact Assessment and Data Analytics for Development Programs

Program Summary

Start Dates

Duration

Fees

Learning Activities

Course Overview

Using Data and Analytics to Drive Evidence-Based Decision-Making in Development and Business.

In today’s fast-changing world, organizations need accurate, data-driven insights to measure the effectiveness of their programs and investments. Impact assessment ensures that projects achieve their intended outcomes, while data analytics helps organizations make informed decisions, optimize resources, and scale sustainable solutions.

The Impact Assessment and Data Analytics Program is designed to equip development professionals, business leaders, policymakers, researchers, and data analysts with the technical skills and strategic insights to design and execute impact assessments, analyze large datasets, and generate actionable insights.

This practical, hands-on training program integrates impact evaluation techniques, data collection tools, statistical modeling, and machine learning applications to help participants measure and enhance social, economic, and business impact.

By the end of the program, participants will earn an Impact Assessment & Data Analytics Certification, positioning them as leaders in evidence-based decision-making and data-driven strategy development.

What You Will Achieve

1

Master Impact Assessment Frameworks

Learn how to design, execute, and report on impact assessments across various sectors.

2

Develop Advanced Data Analytics Skills

Gain expertise in quantitative and qualitative data analysis, visualization, and interpretation.

3

Leverage AI & Machine Learning for Decision-Making

Use predictive analytics and big data tools to enhance impact measurement.

Program Curriculum

Module 1

Foundations of Impact Assessment & Data Analytics

Understand theories, models, and principles of impact assessment.
Learn how to define project objectives, key performance indicators (KPIs), and impact pathways.
Explore data analytics applications in impact evaluation across development, business, and social sectors.
Develop an impact measurement framework for a real-world project.

Module 2

Data Collection Methods & Digital Tools for Impact Measurement

Learn how to design surveys, focus groups, and data collection instruments.
Use mobile data collection tools (KoboToolbox, ODK, SurveyCTO) for real-time impact tracking.
Explore remote sensing, GIS mapping, and big data sources for impact analysis.
Develop a data collection plan using digital platforms and field-based methodologies.

Module 3

Quantitative & Qualitative Data Analysis for Impact Evaluation

Master descriptive and inferential statistics for impact assessment.
Learn how to analyze qualitative data (interviews, case studies, participatory methods).
Explore tools like Excel, SPSS, STATA, and R for impact data processing.
Develop a quantitative and qualitative analysis framework for impact evaluation.

Module 4

Data Visualization, Storytelling & Decision-Making with Analytics

Learn how to visualize data using Power BI, Tableau, and Python-based visualization tools.
Use data storytelling techniques to communicate insights effectively to stakeholders.
Develop interactive dashboards and real-time impact reports for decision-making.
Create a data-driven impact assessment presentation for a case study project.

Module 5

AI, Machine Learning & Predictive Analytics for Impact Measurement

Understand how artificial intelligence (AI) enhances impact assessment.
Use predictive modeling techniques to forecast program outcomes.
Learn how to apply machine learning algorithms to detect trends in impact data.
Develop a predictive impact model using AI and big data analytics tools.

Module 6

Ethics, Data Security & Policy Implications in Impact Analytics

Learn data protection laws (GDPR, data ethics, and responsible AI) for impact assessments.
Understand how to balance data privacy, transparency, and open data policies.
Explore how impact assessment influences policy decisions and strategic planning.
Develop an ethical data usage and compliance framework for an impact analytics project.

Why Study at the Nigerian College of Agribusiness?

No other institution in Africa offers such a comprehensive approach to agribusiness and development sector education as the Nigerian College of Agribusiness. We provide a unique blend of academic rigor, practical expertise, and industry connections. Here, you will learn from experienced faculty members who are experts in their fields and deeply engaged with the latest advancements in their industries.

We leverage interdisciplinary knowledge and the latest research to enhance our programs, ensuring they are relevant and impactful. At NCA, you will continuously engage with thought leaders who are constantly shaping the dynamics of their industries and after graduation, you will be a life-long member of a vibrant alumni community that continually foster cross-disciplinary learning and networking.

Admission Process

STEP 1: Complete the Application for Admission Form for the course

STEP 2: A non-refundable application fee of N20,000 applies and will be deducted from the tuition upon enrollment. This is payable into
Zenith Bank
Account Name: Nigerian College of Agribusiness
Account Number: 1228461510

STEP 3: Attach receipt of Application fee with your highest academic credential and submit to: [email protected]

STEP 4: Upon successful evaluation of your application, you will receive your Admission Letter indicating acceptance into the program. The Letter will also contain details of enrollment into the Course.
Click on the link below to fill the application form for this course

Tuition Fees

Fee : N550,000

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