International Training on Data and Statistical Analysis and Presentation
Enhancing Data-Driven Decisions in Environmental and Development Policy
Course Background
As governments, organizations, and communities across Africa strive to address complex environmental and development challenges, the demand for data-informed decisions has never been greater. From climate change adaptation and natural resource management to poverty reduction and governance reforms, reliable data and sound statistical analysis form the backbone of effective policy formulation, monitoring, and evaluation.
However, data is only powerful when it is properly collected, analyzed, interpreted, and communicated. Many professionals in policy and development fields face challenges in making sense of large data sets, selecting appropriate analytical methods, and presenting their findings in a way that influences decisions. This gap often leads to underutilized data, poorly communicated reports, or missed opportunities for impact.
To address these challenges, the Environmental Capacities and Sustainability Institute (ECAS) offers this course to build practical, hands-on skills in data analysis and presentation. The course is tailored for African practitioners working in government, NGOs, international agencies, and research institutions. It balances statistical theory with real-world applications, using relevant data sets related to environment, health, economics, and governance. It also emphasizes the ethical use of data and the importance of presenting complex results in a simple, clear, and visually engaging way for both technical and non-technical audiences.
Course Objectives
What You Will Learn
Training Modules
Target Participants
This course is designed for professionals who work with data to support policy-making, program evaluation, or advocacy in the fields of environment, governance, public health, agriculture, climate change, and sustainable development. It is ideal for government officials, monitoring and evaluation (M&E) officers, data analysts, researchers, NGO staff, and project managers who need to analyze, interpret, and present data effectively. The course is suitable for both technical and non-technical practitioners, including those with limited formal training in statistics, but who regularly engage with data for reporting, decision-making, or stakeholder communication.
