C remains the top programming language, according to the August index from software QA automation company TIOBE. But the spotlight for up-and-coming language remains focused on R, which continues to ...

Content: The R programming language is used for statistical data analysis and visualisation. R and the R Studio programming environment are a standard tool-set used worldwide for statistical analyses ...

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a ...

Programming has become essential for looking at large datasets, and the R language is particularly useful for statistical analysis. With the R Programming Language Compiler app, you can now test and ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

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

If you want to speed up your R programming workflow, RStudio addins and custom keyboard shortcuts are definitely worth a look. A number of R packages offer add-ins as well as functions, and some are ...

There is a lot of fervor in the SEO industry for Python right now. It is a comparably easier programming language to learn and has become accessible to the SEO community through guides and blogs. But ...