Page Title
Statistics
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Traning 11
Data
Training courses for statisticians and researchers
  • Traning Center Time
    3 days
  • Traning Center Offline
    On Site
Target Group
New employees, Researchers
Learning Outputs
  • Design and implement a high-quality survey while addressing coverage and response errors.
  • Building consistent, searchable, and usable metadata
  • Preparing sectoral indicators according to international standards
  • Applying GIS and advanced analytics and publishing reliable results
Union
Path goal
Enabling practitioners to develop methodologies for collecting, processing, and disseminating high-quality data while adhering to governance and standards.
Programs
Track programs
  • Sampling design and statistical control of surveys
    Stratified/grouped samples, weights, and post-processing of data
  • Data and Metadata Management (GSBPM/GSIM)
    Global models for managing statistical processes and metadata
  • Specialized sectoral statistics
    Price statistics (CPI), national accounts, labor market, health, education
  • Big data and alternative data sources
    Administrative records, phone data, digital platforms, integration and alignment methodologies
  • Sampling design and statistical control of surveys
    Stratified/grouped samples, weights, and post-processing of data
Lists
Program Admission Requirements
  • At least two years of practical experience in statistical work or data.
  • Familiarity with data analysis software (Excel/SPSS/R/Python)
  • The ability to read technical standards and methodologies