Learn how to merge data in R 3 ways: base R, dplyr, and data.tableand never forget syntax to pivot wider and pivot longer. If you’re a tidyverse user, there’s plenty here on tidyr and dplyr .

Knowledge in Excel, SQL, Python and/or R and statistics and probability are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you ...

Sam Nelson, Head of School of Data Science, Udacity said, ”Udacity is excited to announce the release of a new R Programming track within the popular Programming for Data Science Nanodegree program.

RRE7 includes a library of R algorithms that can be run in parallel across multiple nodes, which is how Hadoop manages large data sets. RRE 7 can be added to the Cloudera CDH3 and CDH4 Hadoop ...

Savvy marketers are making use of R programming. The value of R to business intelligence stems from evaluating advanced strategies based on data, discovering new insights and relationships that ...

R programming is an open source language used for statistical modeling and data visualization. The programming language typically operates via a terminal on a laptop, ...

Programming languages Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used , at ...

But SAS is no match for the open-source language that pioneering data scientists use in academia, which is simply known as R.The R programming language leans more frequently to the cutting edge of ...

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 ...

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...