Postgraduate Certificate in Applied Biostatistics Using R
-- viewing nowThe Postgraduate Certificate in Applied Biostatistics Using R is a comprehensive course designed to equip learners with essential skills in biostatistics and data analysis. This course emphasizes the use of R, a powerful statistical software, to analyze and interpret biological data.
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Course Details
• Basic R Programming: data types, vectors, matrices, data frames, lists, functions, loops, conditional statements.
• Exploratory Data Analysis with R: summary statistics, data visualization, data manipulation using dplyr and tidyr packages.
• Inferential Statistics with R: hypothesis testing, confidence intervals, p-values, t-tests, ANOVA.
• Regression Analysis with R: linear regression, logistic regression, multiple regression, interactions.
• Analysis of Variance with R: one-way and two-way ANOVA, repeated measures ANOVA.
• Survival Analysis with R: Kaplan-Meier survival curves, Cox proportional hazards models.
• Advanced Biostatistics with R: non-parametric tests, multivariate analysis, machine learning techniques.
• R Packages for Biostatistics: survival, MASS, car, lme4, nlme, ggplot2.
• Reproducible Research with R: Rmarkdown, sweave, version control with git.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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