Part II of this short course consists of 2 sections: Section 3 introduces statistical analysis in R, including t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression. Section ...

This paper reviews some programming techniques in R that have proved useful, particularly for substantial projects. These include several versions of object-oriented programming, used in a large ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on ...

Microsoft acquires Revolution Analytics, a commercial provider of services for the open source R programming language for statistical computing and predictive analytics.

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

Section 1 introduces R programming basics, including data objects, loops, and importing/exporting datasets. These concepts will be reinforced using examples of data manipulation and data cleaning.