Biostatistics

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Advanced Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Take your understanding of Bayesian inference to the next level with our Advanced Bayesian Data Analysis Using R course. This professional program builds on foundational knowledge to explore complex topics such as modeling latent variables, Bayesian model averaging, generalised linear models, and Markov Chain Monte Carlo (MCMC) methods. Utilize R for practical application and deepen your expertise in statistical analysis.

Self Paced
Self-Paced
Doing Clinical Research: Biostatistics with the Wolfram Language (Coursera) Coursera
University of Cape Town

Doing Clinical Research: Biostatistics with the Wolfram Language (Coursera)

Embark on a journey to master biostatistics with 'Doing Clinical Research: Biostatistics with the Wolfram Language'. This course is designed for aspiring and experienced clinical researchers who wish to enhance their data analysis skills. Learn how to summarize data, create insightful plots and charts, and perform essential statistical tests that are crucial in scientific research and academic publications.

Jul 6th 2026
4 Weeks
Introduction to Applied Biostatistics: Statistics for Medical Research (edX) EdX
Osaka University

Introduction to Applied Biostatistics: Statistics for Medical Research (edX)

Embark on a journey to master the art of analyzing medical data with our Introduction to Applied Biostatistics course. This hands-on program is tailored for researchers, students, and professionals seeking to enhance their understanding and application of statistics in medical research. Utilize R Commander to navigate through real-world examples and gain practical experience.

No sessions available
5-12 Weeks
Biostatistics for Big Data Applications (edX) EdX
University of Texas Medical Branch

Biostatistics for Big Data Applications (edX)

Dive into the world of biomedical big data analysis with our Biostatistics for Big Data Applications course. This hands-on program equips you with essential biostatistical methods and introduces you to the powerful R statistical package. Perfect for researchers in omics and population health, this course offers a strong foundation in statistical terms and practical application.

No sessions Available
5-12 Weeks
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