Nairobi, Kenya Occupational Health, Safety, and Environmental Management

Epidemiological Data Analysis Using Stata Training Course

East Africa’s innovation, diplomatic and training hub with vibrant urban energy

10 Days Duration
In-Person Delivery
12 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 In-Person Schedules in Nairobi

Reserve Your Spot Today — Pay When You're Ready!

Code Start Date End Date Duration Fee
STAT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (5 Days) USD 3,000 Reserve my seat → Register my team →
STAT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
STAT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
STAT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
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Training Date
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5 Days
USD 3,000
STAT-02
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Training Date
to
5 Days
USD 3,000
STAT-02
Reserve my seat
Training Date
to
10 Days
USD 3,200
STAT-02
Reserve my seat
Training Date
to
10 Days
USD 3,200
STAT-02
Reserve my seat
Training Date
to
10 Days
USD 3,200
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 Cambodia

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

Why this course matters in Cambodia

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

Epidemiological data analysis training matters in Cambodia because public health teams need to turn surveillance, program, and research data into defensible decisions quickly, especially when resources are limited and data quality varies across settings. The course is most relevant for ministry analysts, disease surveillance staff, hospital researchers, NGO M&E teams, and academic public health departments that must produce statistically sound evidence for outbreak response, service planning, and policy review. It helps leaders decide whether health trends reflect real risk, where interventions should be targeted, and how confident they can be in reported findings.

Better outbreak decisions

In a surveillance-driven environment, staff who can clean datasets, handle missing values, and run regression or survival analysis can separate signal from noise more reliably when investigating disease trends.

Stronger policy evidence

Public health leaders need analysis outputs that can withstand scrutiny from reviewers, donors, and decision-makers, which makes reproducible Stata workflows useful for routine reporting and research translation.

Improved program evaluation

Health programmes and NGO interventions are easier to assess when teams can compare outcomes across groups, adjust for confounding, and present publication-ready tables and figures from survey or cohort data.

This training is timely because health organisations increasingly need fast, credible analysis for surveillance, research, and programme monitoring, while data complexity continues to rise. Teams that still rely on manual or ad hoc analysis face higher risk of errors, slower reporting, and weaker evidence for resource allocation and intervention design.

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 cleaning, regression modelling, survival analysis, and reproducible public health reporting.

Training visit intelligence for Nairobi

Practical notes for confirmed delegates: arrival, venue expectations, after-class options, and on-the-ground considerations.

Optional after-class stops

8
nature
Nairobi National Park

Unique wildlife reserve on the city’s edge where you can see lions, rhinos and giraffes against a skyline backdrop.

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nature
David Sheldrick Wildlife Trust Elephant Nursery

Renowned sanctuary for orphaned elephants where visitors can watch daily feeding and learn about conservation efforts.

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nature
Giraffe Centre

Conservation and education centre where you can view and feed endangered Rothschild’s giraffes from raised platforms.

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culture
Karen Blixen Museum

Historic farmhouse of author Karen Blixen, showcasing colonial-era life and the setting of “Out of Africa.”

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culture
Nairobi National Museum

Flagship museum presenting Kenya’s history, cultures and natural heritage, including notable prehistoric fossils.

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heritage
Bomas of Kenya

Cultural centre with traditional homesteads and daily music and dance performances representing Kenya’s communities.

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nature
Karura Forest

Urban forest ideal for jogging, walking and cycling, featuring waterfalls, caves and well-marked trails.

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food
Westlands entertainment district

Lively commercial and nightlife district with many restaurants, bars and malls suitable for post-training dining and networking.

Local demand signals 5

Sector-level context showing where this capability is relevant in Nairobi.

01

Telecommunications and mobile financial services

Nairobi is a regional hub for telecoms and mobile money, with Safaricom’s M-Pesa platform frequently studied in digital finance and innovation programs.

02

Information and communication technology (ICT) and startups

Co-working spaces and incubators in Nairobi’s tech ecosystem support training and collaboration in software development, entrepreneurship and digital skills.

03

Banking and financial services

As a financial centre for East Africa, Nairobi hosts major banks and regulators, offering case-study opportunities in regulation, risk and inclusive finance.

04

Development, diplomatic and non-governmental organisations

Nairobi’s concentration of UN agencies and diplomatic missions makes it a key venue for training on development policy, climate, urbanisation and diplomacy.

05

Logistics and regional headquarters

Nairobi’s position as a transport and logistics hub supports training in supply chain, aviation management and regional trade.

Training venue

Nairobi offers a wide range of modern hotels and conference venues, including international chains and dedicated training centres with reliable meeting facilities and catering suitable for professional programs.

Getting there

No direct flights were confirmed from Cambodia to Nairobi; the available search results point to connecting itineraries into Nairobi’s Jomo Kenyatta International Airport (NBO), commonly via hubs such as Bangkok, Delhi, or Addis Ababa, with journey times typically around 10–15 hours depending on the connection. Kenya Airways is listed among airlines selling Phnom Penh–Nairobi itineraries, but the results do not confirm a nonstop Cambodia–Nairobi service.

Visa

Kenya has introduced a visa-free regime for all foreign nationals, but travelers must complete an electronic Travel Authorization (eTA) online before arrival; confirm current requirements and processing times well ahead of travel.

Safety

Central business districts and major training venues are generally busy and secure, but delegates should use registered taxis or app-based rides at night, keep valuables discreet, and follow local advice on areas to avoid after dark.

Internet

Reliability: good

Weather year-round

  • Apr 23/14°C Warm but wetter as part of the long rainy season, so expect showers and plan for indoor sessions or transport buffers.
  • Jan 25/13°C Generally warm and sunny with minimal rainfall, comfortable for daytime training and evening activities.
  • Jul 21/11°C Coolest period of the year with overcast skies and pleasant temperatures; light layers are useful, especially in the mornings and evenings.
  • Oct 24/14°C Warm with the onset of short rains, typically featuring a mix of sunshine and afternoon or evening showers.

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.

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