Virtual Training Occupational Health, Safety, and Environmental Management

Epidemiological Data Analysis Using Stata Online Course

Join our virtual, live instructor-led session and master Epidemiological Data Analysis Using Stata Training from anywhere in the world.

10 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
Master epidemiological data analysis in Stata to conduct robust studies, interpret complex health patterns, and generate evidence-based public health insights.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
STAT-02 Weekend (4 Weeks) USD 1,700 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 1,700 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 1,700 Reserve my seat → Register my team →
STAT-02 Weekend (4 Weeks) USD 1,700 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 1,700 Reserve my seat → Register my team →
STAT-02 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
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4 Weeks
USD 1,700
STAT-02
Training Date
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5 Days
USD 1,700
STAT-02
Reserve my seat
Training Date
to
5 Days
USD 1,700
STAT-02
Reserve my seat
Training Date
to
4 Weeks
USD 1,700
STAT-02
Training Date
to
5 Days
USD 1,700
STAT-02
Reserve my seat
Training Date
to
8 Weeks
USD 1,700
STAT-02
Training Date
to
5 Days
USD 1,700
STAT-02
Reserve my seat

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Epidemiological Data Analysis Fundamentals and Stata Environment

2

Descriptive Epidemiological Analysis and Rate Calculations

3

Cross-Sectional and Survey Data Analysis Methods

4

Case-Control Study Design and Analysis

5

Cohort Study Analysis and Risk Assessment

6

Logistic Regression for Epidemiological Risk Factor Analysis

7

Survival Analysis and Time-to-Event Methods

8

Infectious Disease Surveillance and Outbreak Analysis

9

Advanced Epidemiological Methods and Specialized Analyses

10

Publication-Ready Output and Evidence Communication

Market-specific guidance for Zambia

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in Zambia

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Epidemiological data analysis training matters in Zambia because health teams need to turn surveillance, program, and clinical data into defensible decisions quickly, especially when resources are constrained and evidence quality affects outbreak response, service planning, and policy prioritisation. The course is most relevant for public health analysts, epidemiologists, M&E teams, hospital researchers, and health-program managers who must clean messy datasets, choose appropriate models, and present results that can withstand review. In practice, it helps leaders decide which interventions to scale, where to target limited budgets, and how confidently to report disease trends and outcomes.

Surveillance-to-decision pressure

Zambian health teams often need faster, more rigorous analysis of routine surveillance and program data, so Stata skills directly improve the speed and credibility of evidence used for response planning.

Data-quality risk

Work with incomplete or inconsistent health datasets makes missing-data handling, data cleaning, and reproducible workflows especially important for public-sector and NGO analysts.

Research and policy translation

Hospitals, universities, and implementing partners benefit when analysts can move from descriptive summaries to regression, survival, and survey-aware analysis that supports publication and policy briefs.

This training is timely because health-sector decision-making increasingly depends on timely, defensible analysis rather than descriptive reporting alone. As Zambia’s public-health and research teams handle more digitised routine data and external reporting demands, the ability to use Stata for rigorous epidemiological analysis reduces operational risk and improves the quality of evidence submitted to managers and policymakers.

Tools and platforms relevant to this field

3

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Stata StataCorp
    Used for epidemiological data management, regression modelling, survival analysis, and reproducible statistical output in health research and surveillance.
  • Power BI Microsoft
    Used by health and M&E teams to present trends, indicators, and dashboard summaries for management reporting and stakeholder communication.
  • Microsoft Excel Microsoft
    Used for preliminary data cleaning, data review, and simple tabulation before statistical analysis in public-health workflows.

Where this course runs

Epidemiological Data Analysis Using Stata Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Customize Training Duration

The standard duration for Epidemiological Data Analysis Using Stata Training is 10 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 10 Days schedule? Use the button below.

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Bank of Rwanda
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Dahabshil Bank
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KCB Foundation
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NSSF Uganda
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Reserve Bank of Malawi
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