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 New Zealand

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

Why this course matters in New Zealand

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

Epidemiological Data Analysis Using Stata matters in New Zealand because public health teams need faster, more defensible analysis of surveillance, screening, and program-evaluation data to support timely decisions. The course is especially relevant for public health units, DHB/Te Whatu Ora-style analytics functions, university researchers, and NGOs that must turn routine health data into evidence for policy, service planning, and outbreak response. Stronger capability in Stata helps teams produce analysis that is reproducible, statistically sound, and easier to defend in internal governance, peer review, and stakeholder briefings.

Health-system analytics need reproducible workflows

New Zealand health organisations increasingly rely on data to justify service redesign and intervention prioritisation, so analysts who can document cleaning, modelling, and reporting steps in Stata reduce the risk of inconsistent or non-reproducible findings.

Surveillance and program monitoring depend on method choice

Public health teams handling incidence, prevalence, cohort, and case-control data need the right methods for missing data, survival analysis, and regression modelling so that policy recommendations are based on valid estimates rather than descriptive summaries alone.

Evidence for equity-focused decisions requires better analysis

Because New Zealand health decision-making often considers population variation and service equity, staff who can stratify data, adjust for confounding, and present clear effect estimates are better placed to support funding and intervention decisions.

This training is timely because health analytics capacity is now central to service planning, outbreak monitoring, and research translation across New Zealand’s health sector. Teams that still rely on ad hoc spreadsheet analysis face greater operational risk when they need rapid, audit-ready answers for public health and policy decisions.

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 data management, regression modelling, survival analysis, and reproducible statistical workflows in health research.

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