DHIS2 Data Management, Analytics & Dashboard Development Training Workshop

Course overview

The DHIS2 Data Management, Analytics & Dashboard Development Training Workshop is a practical professional training programme designed to equip participants with the skills required to manage health information, improve data quality, analyse health indicators, develop interactive dashboards and generate evidence-based reports using the District Health Information Software 2 (DHIS2). The workshop covers the full DHIS2 data management cycle, from data entry, validation and aggregation to data quality assessment, indicator configuration, analytics, visualisation and dashboard development. Participants learn how to transform routine health data into meaningful information for monitoring service delivery, tracking disease trends, evaluating health programmes and supporting decision-making.

Course objectives

• Navigate DHIS2 and manage organisational units, data elements, datasets, indicators and reporting periods within an existing implementation.
• Apply practical data governance, access control, reporting standards and quality assurance procedures to strengthen DHIS2 data management and reporting workflows.
• Generate, interpret and communicate actionable insights from routine health information to support planning, resource allocation and evidence-based decision-making.
• Develop interactive dashboards, charts, pivot tables, maps and visual reports for health programme monitoring and performance tracking.
• Configure and analyse health indicators, disaggregated data, aggregated reports and routine health service statistics using DHIS2 analytics tools.
• Apply data entry, validation, completeness checks, consistency checks and data quality assessment procedures to improve health information reliability.

Who should attend

Course content

• Module 1: Introduction to DHIS2 and Digital Health Information Systems DHIS2 architecture and purpose, role of DHIS2 in national health information systems, routine health information flows, aggregate and individual-level data, national and subnational re
• Module 2: DHIS2 Navigation, User Management and System Configuration DHIS2 interface and application navigation, user accounts and user groups, user roles and authorities, organisational unit hierarchy, organisation unit groups and group sets, reporting p
• Module 3: Data Elements, Indicators, Datasets and Metadata Management Understanding data elements and categories, category combinations and disaggregation, option sets and value types, dataset configuration and reporting frequency, indicator definitions a
• Module 4: DHIS2 Data Entry, Importing and Routine Reporting Data entry forms and reporting workflows, completing and saving datasets, data entry validation, data approval and completion processes, reporting periods and organisation unit selection, data im
• Module 5: Data Quality Assessment, Validation and Cleaning Completeness and timeliness assessment, validation rules and validation rule analysis, outlier detection and investigation, internal consistency checks, comparison of related indicators, missing a
• Module 6: DHIS2 Analytics and Data Exploration DHIS2 Data Visualizer fundamentals, pivot tables and multidimensional analysis, selecting indicators and data elements, filtering by organisation unit and reporting period, disaggregation by age, sex and othe
• Module 7: Health Indicator Development and Performance Monitoring Defining measurable health indicators, numerator and denominator logic, calculating coverage and utilisation indicators, service delivery and programme performance indicators, target settin
• Module 8: DHIS2 Charts, Graphs and Data Visualisation Creating bar charts, line charts and pie charts, visualising trends over time, comparing facilities and geographical areas, displaying programme targets and actual performance, selecting appropriate ch
• Module 9: Interactive Dashboard Development DHIS2 dashboard interface and layout, adding charts and visualisation items, integrating pivot tables and maps, arranging dashboard components, designing dashboards for different audiences, developing facility a
• Module 10: Maps and Geospatial Health Data Visualisation Organisation unit geography and spatial metadata, preparing geographic data for mapping, DHIS2 Maps application fundamentals, thematic maps and choropleth visualisation, mapping health service cover
• Module 11: DHIS2 Reporting, Data Exports and Management Reports Standard reports and reporting tools, generating routine performance summaries, pivot table exports, spreadsheet-based analysis, preparing monthly and quarterly health reports, county and sub
• Module 12: Event Data and Individual-Level Data Analytics Introduction to DHIS2 Tracker and Event programs, aggregate data versus individual-level data, program stages and tracked entities, event data capture and validation, basic Tracker analytics, progr
• Module 13: DHIS2 Data Quality Dashboards and Programme Scorecards Designing data quality monitoring indicators, reporting completeness dashboards, reporting timeliness scorecards, monitoring validation errors, identifying facilities requiring follow-up, c
• Module 14: Data Governance, Interoperability and Sustainable DHIS2 Workflows Data governance principles, metadata and data documentation standards, user access and security controls, responsible handling of confidential health information, data backup and
• Module 15: Capstone Project—Developing a DHIS2 Analytics and Dashboard Solution Defining a health programme monitoring problem, reviewing and preparing a sample DHIS2 dataset, assessing data quality, selecting and configuring relevant indicators, analys

General notes

• Recommended Software and Tools : DHIS2, DHIS2 Data Entry, DHIS2 Data Visualizer, DHIS2 Pivot Tables, DHIS2 Maps, DHIS2 Dashboards, DHIS2 Tracker, Microsoft Excel, Google Sheets, Microsoft Power BI, SQL, QGIS, web browsers, spreadsheet-based data quality tools, approved DHIS2 API clients and organisational reporting systems.
• Note: Access to particular DHIS2 applications and configuration features depends on the version, implementation, user permissions and modules enabled in the training environment. Power BI, SQL and QGIS are supplementary tools rather than mandatory components of core DHIS2 dashboard development.
• Training Methodology :The workshop uses a practical, hands-on approach combining instructor-led demonstrations, guided DHIS2 exercises, sample health datasets, individual assignments, group activities, dashboard development projects and participant presentations. Training activities focus on realistic health information management scenarios, including routine reporting, data quality improvement, service coverage analysis, facility performance comparisons, programme monitoring and evidence-based decision-making. Participants are encouraged to apply the techniques to their own health programmes and reporting responsibilities.
• Expected Learning Outcomes: Upon completion, participants should be able to manage routine health data within an existing DHIS2 implementation, identify and investigate data quality problems, configure and interpret relevant indicators, conduct multidimensional health data analysis, develop informative dashboards and visualisations, monitor facility and programme performance, generate routine management reports and communicate findings to health programme stakeholders. Participants should also understand how user permissions, data governance, confidentiality and appropriate reporting workflows contribute to reliable and responsible health information management.

Frequently asked questions

Schedule & fees