Practical Biostatistics with R
What you'll learn
- Apply biostatistical methods to analyze and interpret real-world biological and health data.
- Utilize R programming for data manipulation, statistical analysis, and visualization in biostatistics.
- Design robust experiments and validate statistical models for research and clinical studies.
- Communicate statistical findings effectively using clear reports, tables, and visualizations.
Requirements
- Basic Mathematics and Statistics Knowledge
- Basic Computer Skills
- No Prior Programming Experience Needed
- Interest in Biological or Health Sciences
Description
Practical Biostatistics with R is a comprehensive course designed to equip students and researchers with essential statistical skills for biomedical and health sciences research. The course provides an intensive, hands-on approach to statistical analysis using the R programming language, bridging theoretical concepts with real-world data interpretation and research methodologies.
Participants will explore various statistical techniques critical to scientific research, including descriptive and inferential statistics, hypothesis testing, and regression analysis. Through case study assignments, students will learn to manipulate complex datasets, conduct rigorous statistical analyses, and develop reproducible research workflows that meet contemporary scientific standards.
The curriculum is structured to support participants from diverse backgrounds, requiring only basic programming knowledge and a foundational understanding of biological sciences. Emphasizing practical application, the course guides students through step-by-step problem-solving techniques, focusing on interpreting statistical results in meaningful scientific contexts. Participants will work with real-world medical and biological datasets, learning to clean, analyze, and visualize data using advanced R programming techniques. The course goes beyond mere technical instruction, cultivating critical statistical thinking and computational skills essential for modern scientific research.
By the conclusion of the course, participants will be equipped to design robust research studies, perform sophisticated statistical analyses, and transform complex statistical concepts into actionable research insights. This comprehensive training prepares students and professionals to leverage statistical methods effectively in biomedical research, healthcare, and data-driven scientific investigation.
Who this course is for:
- Students and Researchers in Biological and Health Sciences
- Healthcare Professionals
- Data Enthusiasts and Analysts
- Academicians and Educators
- Anyone New to Biostatistics and R Programming
Instructor
- 4.2 Instructor Rating
- 38 Reviews
- 2,902 Students
- 6 Courses
In an era where there is a huge and vast amount of data, the need for professionals who can manage and make sense of this data is needed, either by describing, modelling or identifying patterns in data.
As someone who has worked as a freelance Data Scientist for over 5 years in the data industry, I aim to train and educate you on how you can become one of the best data professionals out there either as a Data Analyst, Data Scientist or Machine Learning Engineer.
I graduated with a BSc in Statistics and currently working as a Biostatistician at a public hospital assisting medical researchers in analysing health data. As a technical writer, I have written various articles and have thousands of reads on medium.
I am proficient in Mathematics, Statistics and Programming (R and Python) and have a strong domain knowledge of the health sector.
As a data scientist, my day-to-day activities range from performing exploratory data analysis to building machine learning or deep learning models.
My biggest happiness comes when students benefit from my courses and I hope as you are reading this, you have either enrolled or are about to enroll in one of my courses.
I wish you all the best in your path to becoming a world-class data professional!