R Programming

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

Introduction to Bayesian Statistics Using R (edX)

Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.

Self Paced
Self-Paced
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
Ferramentas para Ciência de Dados: Introdução ao R (Coursera) Coursera
FIA Business School

Ferramentas para Ciência de Dados: Introdução ao R (Coursera)

Bem-vindo ao Curso Ferramentas para Ciência de Dados: Introdução ao R, onde você aprenderá os conceitos básicos e aplicativos práticos do software R. Este curso é projetado para iniciantes que desejam mergulhar no mundo da análise de dados e usar o poderoso linguagem R para transformar informações em insights valiosos.

Sep 7th 2026
4 Weeks
Introducción a R para ciencia de datos (edX) EdX
Universitat Politècnica de València,UPValenciaX

Introducción a R para ciencia de datos (edX)

Sumérjase en el mundo del análisis de datos con nuestro curso 'Introducción a R para ciencia de datos'. Aprenderás los fundamentos del lenguaje R, una herramienta esencial para la investigación científica y el aprendizaje automático. Ideal para principiantes que desean adquirir habilidades prácticas en análisis de datos.

Self Paced
Self-Paced
Making Data Science Work for Clinical Reporting (Coursera) Coursera
Genentech

Making Data Science Work for Clinical Reporting (Coursera)

Discover how data science can revolutionize your approach to clinical reporting. This course is designed for professionals looking to integrate data-driven insights into their clinical trial documentation processes. Gain a deep understanding of the requirements in clinical reporting and learn practical techniques to apply data science effectively, ensuring accuracy and efficiency every step of the way.

Sep 7th 2026
4 Weeks
R Programming and Tidyverse Capstone Project (Coursera) Coursera
University of Colorado Boulder

R Programming and Tidyverse Capstone Project (Coursera)

In this final course of the 'Expressway to Data Science: R Programming and Tidyverse' specialization, you will apply your skills in R and the tidyverse by conducting an analysis on COVID-19 data. This practical application allows you to demonstrate your proficiency with real-world datasets that have impacted global health.

Sep 7th 2026
3 Weeks
The Essentials of Data Literacy Online Course (edX) EdX
Davidson College,DavidsonX

The Essentials of Data Literacy Online Course (edX)

Embark on a journey towards becoming data literate with our Essentials of Data Literacy Course. This online program is designed to equip you with the fundamental skills needed to analyze, manage, and visualize data effectively. Whether you're new to data or looking to refine your existing skills, this course offers a structured approach using R programming to help you master the art of data literacy.

Self Paced
Self-Paced
Bioinformatics for Biologists: Analysing and Interpreting Genomics Datasets (FutureLearn) FutureLearn
Wellcome Connecting Science

Bioinformatics for Biologists: Analysing and Interpreting Genomics Datasets (FutureLearn)

Discover how bioinformatics can transform your understanding of complex biological datasets. This FutureLearn course equips biologists with essential skills in analyzing and interpreting genomic information, enabling you to effectively manage and interpret large-scale biological data.

Self Paced
3 Weeks