This advanced course provides a deep dive into epidemiological data analysis, equipping participants with the skills and knowledge to handle complex data sets and derive meaningful insights. Through theoretical instruction and practical application, participants will learn advanced statistical techniques, data management strategies, and interpretation methods essential for epidemiological research.
Upon completion of this course, participants will be able to:
- Understand advanced statistical methods used in epidemiological analysis.
- Develop proficiency in data management and preparation.
- Analyse epidemiological data using advanced statistical software.
- Interpret and communicate findings effectively.
- Apply data analysis techniques to real-world epidemiological research.
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 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
Section 1: Introduction to Epidemiological Data Analysis
- Overview of Epidemiological Study Designs
- Types of epidemiological data
- Introduction to statistical software for data analysis
Section 2: Data Management and Preparation
- Data cleaning and transformation
- Handling missing data
- Creating and managing data sets
Section 3: Advanced Statistical Techniques
- Regression models: linear, logistic, and Cox proportional hazards
- Survival analysis techniques
- Multilevel modelling and repeated measures analysis
Section 4: Interpretation and Communication of Results
- Interpreting statistical outputs
- Visualising data and results
- Communicating findings to different audiences
Section 5: Practical Applications and Case Studies
- Hands-on data analysis practice with real-world datasets
- Developing research questions and analysis plans
- Case studies and collaborative problem-solving
- Course review and expert Q&A
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.
العلامات
- كود الكورس IND5 - 149
- نمط الكورس
- المدة 5 أيام
الدورات المميزة
