About this Course

This course is designed to provide a comprehensive foundation in the field of biostatistics, focusing particularly on the application of statistical concepts and methodologies in omics and population health research using the R programming language. Covering the basics of statistical terms and their definitions, the course introduces participants to the R software while providing insights on tackling the complexities of biomedical big data.

Course Description

Participants in this course will explore key statistical concepts and techniques fundamental to biostatistics, particularly within the contexts of omics and population health. The course includes an introduction to the R statistical software, offering hands-on learning through practice datasets and exercises to enhance programming skills and statistical understanding.

What Students Will Learn

• Basic R Programming skills.
• Techniques to create and interpret graphical data summaries.
• Understanding and application of basic inferential statistical methods, both parametric and nonparametric.

Pre-requisites or Skills Necessary to Complete the Course

No specific prerequisites are required for this course, making it accessible to beginners and those new to the subject of data analysis and biostatistics.

Course Coverage

• Introduction to R programming and software environment.
• Fundamental statistical concepts and definitions relevant to biomedical research.
• Graphical summary techniques and data interpretation.
• Implementation of basic inferential statistical methods.
• Exercise sets and practice datasets to reinforce learning.

Who This Course Is For

This course is tailored for beginners and those interested in the field of data analysis, biostatistics, and health sciences. It suits individuals aiming to develop their competencies in statistical analysis and R programming, particularly those working with big data in biomedical contexts.

Application of Learned Skills in the Real World

Skill sets obtained from this course are highly applicable in various sectors including healthcare, research, academia, and any field involving large datasets. Proficiency in R programming and understanding of biostatistics can significantly enhance data analysis capabilities in clinical settings, epidemiological research, and personalized medicine.

Syllabus

• welcome and Introduction to Course
• Getting Started with R
• Basic Concepts of Statistics
• Exploring Data Graphically
• Fundamental Inferential Techniques
• Practical Exercises and Assessments