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
to
4 Weeks
USD 1,700
STAT-02
Training Date
to
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 Mozambique

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

Why this course matters in Mozambique

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

This course matters in Mozambique because public health teams need to turn surveillance, program, and research data into defensible evidence for outbreak response, service planning, and policy decisions. It is most relevant for epidemiologists, disease surveillance officers, biostatisticians, M&E teams, and health-program managers who must analyze incomplete or complex datasets quickly and credibly. For leaders, the practical value is better decisions on where to target interventions, how to interpret risk patterns, and whether a health program is working.

Surveillance-to-action gap

Mozambique’s public health functions depend on staff who can convert routine surveillance and program data into analysis that is strong enough for operational decisions and reporting, not just data entry and aggregation.

Complex datasets need stronger methods

Training in Stata is useful where teams must deal with missing values, regression models, survival analysis, and survey data structures that are common in epidemiological work and hard to handle reliably in spreadsheets.

Evidence for policy and partners

Health managers and technical teams need publication-ready outputs that can support ministry planning, donor reporting, and technical review, especially when findings are challenged by stakeholders.

The training is timely because health systems are under pressure to produce faster, more rigorous evidence from routine and research data while maintaining credibility in policy discussions. In practice, that raises the value of staff who can analyze epidemiological data correctly the first time and avoid weak or non-reproducible outputs.

Tools and platforms relevant to this field

1

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 analysis, regression modeling, survival analysis, data cleaning, and reproducible reporting in public health research and surveillance work.

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.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University