The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.

I also prepared many Sheffield assignments using RMarkdown. Automation has become increasingly common in government where we are now using more efficient methods like Reproducible Analytical Pipelines ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests ...

A full two inches thick and nearly 800 pages long, The Book of R promises to teach you everything you need to be productive in using this language – that includes the basic syntax of the ...

In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...

Id: 008448 Credits Min: 3 Credits Max: 3 Description. This is a methods course focusing on the applications of statistics using R programming language. Topics include: Study designs, review of ...

Big-data analytics company Databricks Inc. is teaming up with RStudio Inc. in order to help developers write code for artificial intelligence and machine learning applications more easily using the R ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...