The DHS Program offers several regional workshops in four critical competency areas – sampling, data processing, data analysis, and GIS in English and French. Each workshop is carefully designed and administered as a blended course and includes pre-work through the DHS Online Learning Platform, followed by a face-to-face component. The pre-work promotes participant interaction and peer-to-peer learning, whereby participants are able to share reflections, best practices, and feedback for facilitators. Additional resources allow participants to dig deeper into course content. Visit the Announcements page to view all current and past workshops.

Visit The DHS Program blog to read more about DHS capacity strengthening-related posts.

Audience: Data Processors & Statistical Agency Staff
Number of Participants: 10-15
Length of Workshop: 10 days
Statistical Software: CSPro, SPSS, Stata, SAS, and Excel tools
Skill Level: Frequent user of CSPro
Pre-requisite: Prework via DHS Online Learning Platform

This workshop is intended for data processing specialists writing CSPro data entry and editing applications for their organizations. The course covers the CSPro fundamentals, including construction of dictionaries and forms, data entry and batch applications, CSPro utilities, and the drag-and-click tabulation module. The training is mainly oriented toward using CSPro for survey processing, but a special session can be included to discuss aspects related to census processing. The course includes hands-on training with examples and discussions using a pre-existing questionnaire.

Sample Agenda:

Day 1 Introduction & creating a CSPro dictionary
Day 2 Creating CSPro forms
Day 3 CSPro general concepts
Day 4 Generating a data entry applications
Day 5 Other commands for data entry and batch processing
Day 6 Batch processing
Day 7 Menus in CSPro
Day 8 Utilities
Day 9 Module for tables using the user interface (drag-and-click) - Part 1
Day 10 Module for tables using the user interface (drag and click) - Part 2
Audience: Data Processors & Statistical Agency Staff
Number of Participants: 10-18
Length of Workshop: 10 days
Statistical Software: CSPro
Skill Level: Moderate to advanced users of CSPro
Pre-requisite: Prework via DHS Online Learning Platform

This workshop is a follow-on to Data Processing and Procedures Part I and aims to strengthen the capacity of professionals who will be working on DHS survey data processing to produce data capture programs for computer assisted personal interviewing (CAPI). Participants are required to complete a pre-work eLearning course prior to attending the in-person part of this workshop.

This blended training equips participants with the knowledge and skills to use procedures and programs effectively during the data capture phase of a survey, with special emphasis is placed on CAPI. Other key aspects of the workshop include generating all necessary dictionaries, forms, applications, and menus during the data entry collection. This includes all applications used for data entry, data verification, secondary editing, and imputation, and the programs that guide the data processing team through all stages of data processing. Although the training focuses on DHS Surveys, participants can use the acquired skills for other types of surveys.

Sample Agenda:

Day 1 Introduction to DHS data processing systems
Day 2 Data dictionaries & Data entry forms
Day 3 Data entry applications
Day 4 External dictionaries and data files
Day 5 CSPro CAPI features
Day 6 DHS CAPI procedures
Day 7 CAPI team management system & Data transfer
Day 8 Central office supervision & Data integrity
Day 9 Team supervision & Field check tables
Day 10 Manuals and forms, review, evaluation, and closing

This workshop will focus on the application of Geographic Information System (GIS) in public health, specifically using maps for better program and policy decision making. This basic workshop introduces participants to data concepts including management and cleaning of data in Microsoft Excel, using maps as part of the decision making process, introduction to GIS concepts (including GPS data collection), and hands-on introduction to QGIS, an open source GIS software package.

Visit our blog to learn more about the 2016 Regional Health Data Mapping Workshop.

Audience: Statisticians from the statistical offices and other ministries
Number of Participants: 10-15
Length of Workshop: 10 days
Course Type: Blended Learning Course
Pre-requisite: Prework via DHS Online Learning Platform

The Survey Sampling Workshop covers the theories of survey sampling and include practical demonstration of statistical tools. A large portion of the workshop is allocated for participants to practice with the different tools for each of the main steps of a sample survey. Though the workshop is mainly designed for household-based surveys using DHS surveys as examples, the principles and the tools are applicable to a range of surveys that a national statistical office typically deals with, such as labor force surveys, household consumer surveys, business surveys, and health system assessment surveys.

Sample Agenda:

Day 1 Basics of sampling (target population, sampling frame, sampling procedures)
Day 2 Basics of sampling (stratification, estimator, confidence interval, complex surveys)
Day 3 Principles of household based surveys
Day 4 Sample design, sample size determination, and sample size calculator
Day 5 Survey domains, sample allocation, survey design documentation
Day 6 Sample selection procedures and tools
Day 7 Sampling weight calculation (design weight, correction of unit non-response, normalization of
Day 8 Sampling error calculation (survey errors, sampling errors)
Day 9 Statistical software for sampling errors (SAS, SPSS, Stata)
Day 10 Special topics
Visit our Facebook Page to view photos from the 2016 Regional Sampling Workshop.

The workshop will teach participants to analyze the SPA data in their respective countries to address research questions related to delivery and quality of health services.

Visit our Facebook Page to view photos from the 2016 Regional SPA Data Analysis Workshop.

This regional workshop will teach participants to analyze Demographic and Health Survey(DHS)and Malaria Indicator Survey (MIS) data sets with a special focus on malaria data. The content of the workshop includes sampling/weighting of survey data, recoding variables, computation of malaria indicators, linear/logistic regression, and data use for decision making.

This workshop will teach participant teams to analyze Demographic and Health Survey datasets. The workshop will include training on DHS data sampling and weighting, recoding variables, merging datasets, creating tabulation plans and conceptual frameworks, regression and significance testing, interpretation of results, scientific writing, and other topics.


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