Certification & Courses

Build the skills that guarantee data integrity from the field to the final report. Join our growing community of certified data professionals.

$99 5 Modules

The Certified Enumerator: Professional Skills for Clean & Accurate Data

Transform field staff into highly professional, certified data defenders who guarantee the integrity of data at the source.

Module 1: The Professional Enumerator Mindset

  • Understanding your role as a data guardian
  • Ethics, confidentiality, and respondent rights
  • First impressions and professional conduct in the field

Module 2: Mastering the Survey Instrument

  • Anatomy of a questionnaire: skip logic, filters, and response codes
  • Practice sessions with real-world survey instruments
  • Common question types and how to administer them accurately

Module 3: Field Data Collection Techniques

  • Approaching households and building rapport
  • Probing techniques for complete and accurate responses
  • Handling sensitive topics and reluctant respondents

Module 4: Data Quality Assurance in the Field

  • Real-time checks: consistency, completeness, and range validation
  • Using mobile data collection tools (ODK, SurveyCTO, KoboToolbox)
  • Troubleshooting common data entry errors

Module 5: Certification Assessment

  • Practical field simulation exercise
  • Written knowledge assessment
  • Earn your Certified Enumerator credential

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Coming Soon 5 Modules 20% off for early subscribers

Survey Data Mastery in R: From Cleaning to Publication-Ready Graphics

Equip researchers and analysts with the R programming skills to transform raw survey data into clean datasets and compelling, publication-ready visualizations.

Module 1: R Foundations for Survey Analysts

  • Setting up your R and RStudio environment
  • Core data structures: vectors, data frames, and tibbles
  • Importing survey data from CSV, Excel, and STATA files

Module 2: Data Cleaning & Wrangling with the Tidyverse

  • Filtering, selecting, and transforming variables with dplyr
  • Handling missing values, outliers, and inconsistent entries
  • Reshaping data: pivoting between wide and long formats

Module 3: Survey-Specific Data Operations

  • Working with survey weights and complex sample designs
  • Recoding variables, creating indices, and labelling factors
  • Merging and appending multi-round survey datasets

Module 4: Publication-Ready Graphics with ggplot2

  • Grammar of graphics: building plots layer by layer
  • Creating bar charts, histograms, box plots, and maps
  • Customizing themes, colors, and annotations for publication

Module 5: Reproducible Reporting

  • Building automated reports with R Markdown
  • Creating summary tables with gt and kableExtra
  • Exporting polished outputs for papers and presentations

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