Training on Epidemiological Data Analysis Using Stata
Master epidemiological data analysis with Stata. Learn to analyze health data, identify trends, and evaluate public health interventions.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings.
Course Duration
5 Days
Who Should Attend
- Epidemiologists
- Public health professionals
- Medical researchers
- Biostatisticians
- Data analysts working in health-related fields
What you'll walk away with
By the end of this course, participants will:
- Understand the basics of epidemiological data analysis.
- Navigate and use Stata software efficiently.
- Manage and manipulate epidemiological data in Stata.
- Perform descriptive and inferential statistical analyses.
- Conduct regression analysis and interpret the results.
- Apply epidemiological methods to real-world data.
- Present and visualize epidemiological findings effectively.
What we cover, module by module
Module 1: Introduction to Epidemiology and Stata
- Overview of epidemiological concepts
- Introduction to Stata: interface, commands, and syntax
- Importing and exporting data
- Data cleaning and preparation
- Basic descriptive statistics
- Case Study: Outbreak investigation delayed due to poor data management systems
- Practical: Importing, cleaning, and running basic statistics in Stata
Module 2: Data Management and Descriptive Analysis
- Data manipulation techniques
- Creating and managing datasets
- Generating summary statistics
- Exploring data distributions
- Handling missing data
- Case Study: Incomplete health records affecting disease trend analysis
- Practical: Cleaning datasets and generating summary outputs
Module 3: Inferential Statistics in Epidemiology
- Hypothesis testing and p-values
- Confidence intervals
- Comparing means (t-tests, ANOVA)
- Non-parametric tests
- Chi-square tests for categorical data
- Case Study: Comparing vaccination outcomes across regions using statistical tests
- Practical: Running hypothesis tests and interpreting results
Module 4: Regression Analysis
- Introduction to regression analysis
- Simple and multiple linear regression
- Logistic regression
- Survival analysis
- Model diagnostics and interpretation
- Case Study: Predicting disease risk factors using regression models
- Practical: Building and interpreting regression models in Stata
Module 5: Advanced Epidemiological Methods & Data Visualization
- Advanced regression techniques (Poisson, Cox regression)
- Handling complex survey data
- Visualizing epidemiological data (graphs and plots)
- Reporting and presenting results
- Case Study: Using survival analysis to study patient treatment outcomes
- Practical: Applying advanced models and creating epidemiological visualizations
Where the change lands
Organizational Impact
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Improve evidence-based public health decision-making through rigorous epidemiological analysis.
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Enhance credibility and accountability with government agencies and donors.
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Foster a data-driven culture to identify health risks and opportunities for better resource allocation.
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Standardize data analysis processes to increase operational efficiency and impact.
Personal Impact
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Gain specialized skills essential for careers in public health and epidemiology.
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Advance toward senior analytical, research, or leadership roles.
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Contribute to public health improvement with high-quality, impactful data insights.
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Build confidence and authority to lead and champion data-driven initiatives.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Epidemiological Data Analysis Using Stata in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.