Learn more about the Data Analysis with R Programming course here including a course overview, cost information, related jobs and more.

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

R lets you slice your data sets in various ways, depending on the data type. To select just certain columns from a data frame, you can either refer to the columns by name or by their location (i.e ...

One interesting fact about SPSS is that, unlike R, you won't need to learn any special syntax or programming language to use it for data analysis. It has a graphical user interface (GUI) system ...

Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

Advanced Analysis: survival for survival analysis. MASS for robust statistical methods. Performing Statistical Analysis with R Data Import and Preprocessing. Import data from various sources such as ...

The increase in population genetics data has led to a parallel need for sophisticated analysis programs and packages. This article is intended as a guide to many of these statistical programs, to ...

This workshop is hands-on and intended for beginners, no previous knowledge of data analysis and/or the RStudio software is required. This session will cover the following topics for R (RStudio): data ...