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Collecting Mobile Phone Data for High-Frequency Monitoring

Due to the COVID-19 global pandemic, the importance and benefits of phone surveys have been recognized around the world. This training covers each stage of the phone survey life cycle, including questionnaire design, sampling design, use of Computer-Assisted Telephone Interviewing, and remote data quality monitoring.

Big Data Analytics

This course is a practical guide to working with large-scale datasets. The principal aim of the program is to introduce students/participants to the ecosystem of technologies for working with large-scale datasets, such as the technologies for data storage, data processing, building machine learning models and more via the most practical approach possible using Python as the programming language.  

Measuring Wealth in Household Surveys in Low- and Middle-Income Countries: A Vulnerability Perspective

This introductory-level course presents a conceptual framework and practical advice for measuring consumption, income, and wealth by shedding light upon their importance for measuring living standards. The course offers practical guidelines for household survey data production and processing on income and wealth, including recommendations for questionnaire design, data validation, outlier detection and treatment. 

Making Debt Data Transparent and Sustainable Amidst Debt Distress

As countries emerge from the pandemic, they face exacerbated debt levels, increased inflationary and interest rate pressures, and slowing growth rates. Consequently, debt risks and vulnerabilities are at an all-time high. This intermediate-level course provides an in-depth understanding of debt statistics from the World Bank Debtor Reporting System (DRS) and the methodologies for compiling external debt statistics. Participants will examine gaps and discrepancies that undermine confidence in debt statistics, impact debt sustainability, and complicate debt restructuring.