This intensive course provides a complete, end-to-end grounding in Post-Enumeration Survey (PES) design, implementation, analysis, and reporting—tailored to agricultural censuses. Through six modules, students will master coverage and content error measurement, sampling design, field operations, dual-system estimation, variance estimation, content-error indices, small-area methods, and the communication of findings. The syllabus blends theory, case studies (Namibia 2023, China 2024, South Africa 2022), hands-on simulation exercises, and a capstone applied project.

In an era where policy decisions and program evaluations hinge on sound evidence, mastering the end-to-end workflow for survey data is essential. This course bridges theory and practice by guiding participants through the complete lifecycle of complex survey datasets—from import and design declaration to cleaning, imputation, merging, and generation of analysis-ready outputs. Leveraging both SPSS and Stata, you’ll develop reproducible, documented workflows that meet international standards for survey inference. Through hands-on labs using real-world guidebook examples, you will gain the technical skills and methodological understanding needed to deliver reliable, design-correct estimates for national statistics and research.