Epidemiological Data Analysis Using Stata Training Course
Outbreak response, programme planning and health policy all depend on analysts who can turn surveillance and study data into trustworthy estimates of risk. You start in Stata with importing, labelling, cleaning and reshaping health datasets, writing do-files and log files so every result can be reproduced. Measures of disease frequency follow, including incidence, prevalence, attack rates and mortality rates, with age standardisation and descriptive analysis by person, place and time. Statistical sessions cover cross-tabulations, chi-square and t-tests, confidence intervals, and measures of association such as risk, odds and rate ratios for cohort, case-control and cross-sectional designs.
Regression days build logistic, Poisson and Cox models, explain confounding, interaction and model fit, and show how to identify risk factors in multivariable analysis. The final session covers presenting tables and graphs for reports, manuscripts and briefings. Exercises use realistic public health datasets, so each command is practised on the kinds of questions epidemiologists face. Epidemiologists, biostatisticians, field officers, public health researchers and health information staff with basic statistics knowledge are well suited. You leave with tested do-file templates and the ability to run and interpret a full epidemiological analysis on your own.
About this course
This Epidemiological Data Analysis Using Stata training focuses on helping participants use Stata to analyze epidemiological data, interpret health outcomes, and support public health decision-making. The course explores data management, descriptive and inferential statistics, disease measurement, regression analysis, and reporting techniques. Participants will gain hands-on experience in applying epidemiological methods and statistical tools to address real-world health challenges.
Throughout the programme, participants work through realistic scenarios drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments, examining how epidemiological data analysis using stata is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for managing epidemiological data in stata, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
Training Objectives
- Strengthen understanding of epidemiological data analysis concepts using Stata.
- Enhance the ability to manage and prepare health datasets for analysis.
- Develop practical skills in applying statistical techniques to epidemiological studies.
- Improve competency in interpreting epidemiological findings and results.
- Build capability in conducting disease surveillance and trend analysis.
- Strengthen skills in statistical modeling for public health research.
- Equip participants with methods for presenting analytical findings effectively.
- Enable participants to support evidence-based health interventions and policy decisions.
What you'll learn
Key Takeaways
By the end of the Epidemiological Data Analysis Using Stata Training Course, participants will leave with:
- Comprehensive understanding of epidemiological analysis using Stata.
- Enhanced ability to manage and analyze public health data.
- Improved competency in applying statistical methods to health research.
- Practical techniques for disease trend analysis and surveillance.
- Greater confidence in interpreting epidemiological findings.
- Stronger capability to support public health planning and policy development.
- Improved skills in communicating analytical results effectively.
Training Methodology
This training course uses a practical and software-oriented learning approach that strengthens epidemiological analysis, statistical interpretation, and reporting capabilities using Stata.
Methodology includes:
- Guided demonstrations of Stata commands and analytical tools.
- Hands-on exercises using epidemiological datasets.
- Practical case studies from public health and research settings.
- Interactive workshops focused on health data challenges.
- Group discussions on the interpretation of epidemiological findings.
- Scenario-based assignments on disease surveillance and analysis.
- Practical sessions on modeling, reporting, and evidence generation.
Day 1: Managing Epidemiological Data in Stata
- Navigating the Stata environment and analytical workspace.
- Importing health datasets from various sources.
- Organizing variables and coding health information.
- Cleaning and validating epidemiological data.
- Managing missing values and inconsistencies.
- Transforming variables for analytical purposes.
- Preparing datasets for epidemiological analysis.
Day 2: Measuring Disease Occurrence and Distribution
- Calculating incidence and prevalence measures.
- Measuring morbidity and mortality indicators.
- Analyzing demographic and population characteristics.
- Exploring disease distribution patterns.
- Conducting descriptive statistical analysis.
- Creating summary tables for health data.
- Interpreting epidemiological indicators accurately.
Day 3: Statistical Analysis for Epidemiological Studies
- Applying hypothesis testing techniques.
- Conducting comparisons between population groups.
- Measuring associations between risk factors and outcomes.
- Performing correlation analysis for health data.
- Using confidence intervals in epidemiological studies.
- Evaluating statistical significance in research findings.
- Interpreting outputs from analytical procedures.
Day 4: Regression Modeling and Risk Factor Analysis
- Conducting linear regression analysis.
- Applying logistic regression techniques.
- Identifying determinants of health outcomes.
- Measuring exposure and disease relationships.
- Assessing confounding and interaction effects.
- Evaluating model performance and validity.
- Using regression outputs to support health decisions.
Day 5: Reporting Epidemiological Findings and Decision Support
- Presenting analytical results to stakeholders.
- Developing epidemiological reports and summaries.
- Creating charts and tables for health data communication.
- Translating findings into public health recommendations.
- Supporting policy and program decisions with evidence.
- Addressing real-world epidemiological case studies.
- Developing action plans based on analytical insights.
- Epidemiologists
- Public Health Professionals
- Health Researchers
- Monitoring and Evaluation Specialists
- Biostatisticians
- Medical Researchers
- Health Information Officers
- Program Managers in Health Projects
- Data Analysts in Health Institutions
- Professionals involved in health research and disease surveillance
Upon successful completion of the training, participants will receive a Certificate of Completion in Epidemiological Data Analysis Using Stata Training issued by Vision Reach Global Consultancy.
The award recognizes full attendance and successful completion of the programme assessment activities. It is widely accepted for continuing professional development purposes, and its authenticity can be confirmed with Vision Reach Global Consultancy at any time.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Frequently Asked Questions About Epidemiological Data Analysis Using Stata Training Course
Everything you need to know about this course before you register.
By the end of the Epidemiological Data Analysis Using Stata programme, you'll be able to understand core epidemiological data analysis using stata principles and how they fit together in practice, apply practical techniques for managing epidemiological data in stata in day-to-day implementation, strengthen evaluation, reporting and quality-assurance capability, and improve decision-making using evidence-driven performance information. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is designed for Epidemiologists, Public Health Professionals, Health Researchers, Monitoring and Evaluation Specialists, Biostatisticians, Medical Researchers, Health Information Officers, Program Managers in Health Projects, Data Analysts in Health Institutions, and Professionals involved in health research and disease surveillance.
Epidemiological Data Analysis Using Stata Training Course typically runs as 5 Days. It's available as in-house corporate, in-person classroom, and live virtual training — every course can also be delivered on-site for your team on dates that suit you.
Epidemiological Data Analysis Using Stata Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Kisumu, Kenya, and Naivasha, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Epidemiological Data Analysis Using Stata starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Epidemiological Data Analysis Using Stata Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Epidemiological Data Analysis Using Stata Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Epidemiological Data Analysis Using Stata Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Epidemiological Data Analysis Using Stata Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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Training by Country
Epidemiological Data Analysis Using Stata Training Course by Country
- Epidemiological Data Analysis Using Stata Training Course in GhanaGHClassroom in Accra
- Epidemiological Data Analysis Using Stata Training Course in KenyaKEClassroom in Nairobi, Mombasa, Kisumu, Naivasha, Machakos
- Epidemiological Data Analysis Using Stata Training Course in NigeriaNGClassroom in Abuja, Lagos
- Epidemiological Data Analysis Using Stata Training Course in RwandaRWClassroom in Kigali
- Epidemiological Data Analysis Using Stata Training Course in South AfricaZAClassroom in Cape Town, Pretoria, Johannesburg
- Epidemiological Data Analysis Using Stata Training Course in TanzaniaTZClassroom in Zanzibar, Dar es Salaam, Arusha, Dodoma
- Epidemiological Data Analysis Using Stata Training Course in UgandaUGClassroom in Kampala
- Epidemiological Data Analysis Using Stata Training Course in the UAEAEClassroom in Dubai
- Live Online Epidemiological Data Analysis Using Stata Training CourseInstructor-led, joined from anywhere