This advanced course delves into applying statistical methods in epidemiology, providing participants with the skills necessary to analyse and interpret epidemiological data effectively. Combining theoretical knowledge with practical training, the course covers advanced statistical techniques, data management strategies, and the interpretation of complex datasets, preparing participants to enhance their research and public health initiatives.

Upon completion of this course, participants will be able to:

Understand key statistical concepts and methods used in epidemiology.
Develop advanced skills in data management and statistical analysis.
Learn to apply statistical software tools for epidemiological research.
Interpret and communicate statistical findings effectively.
Enhance their ability to design and analyse epidemiological studies.

This course is intended for:

Epidemiologists
Public health professionals
Medical researchers
Data analysts in health sciences
Graduate students in public health and epidemiology

The course employs a blend of instructional methods, including:

Interactive lectures
Hands-on data management and analysis sessions
Group discussions and case studies
Expert-led Q&A sessions
Comprehensive course materials and resources

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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ID	التواريخ المتاحة	المدينة	الرسوم	الإجراءات

Course Content

Section 1: Foundations of Epidemiological Statistics

Overview of key statistical concepts in epidemiology
Types of epidemiological studies and data
Introduction to statistical software for epidemiological analysis

Section 2: Data Management and Preparation

Data collection methods and data quality
Cleaning and preparing epidemiological data
Handling missing data and data transformation techniques

Section 3: Advanced Statistical Methods

Descriptive statistics and measures of association
Regression analysis: linear, logistic, and Cox proportional hazards models
Advanced techniques: multilevel modelling and time-series analysis

Section 4: Interpretation and Communication of Results

Interpreting statistical outputs and results
Data visualisation techniques for epidemiological data
Communicating findings to different audiences

Section 5: Practical Applications and Case Studies

Hands-on data analysis with real-world epidemiological datasets
Developing research questions and analysis plans
Case studies and collaborative problem-solving
Course review and expert Q&A

Certificate Details

عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.

شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.

يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.