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 ...

C# developers who want to wring more meaningful info from large sets of data should get cozy with the statistical computing language known as R. Let's get familiar with R in this new series. The R ...

R is a free computing and graphical software/environment for statistical analysis. Part II of this short course consists of introduction to statistical analysis in R, including t-tests, ANOVA, linear ...

R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...

Are you new to R? Curious about applications within the social sciences? All are welcome to attend this introductory-level workshop to learn how to program in R Studio. Attendees will gain hands-on ...

One of the most innovative adjuncts to the R statistical environment to come out in the last year or so is R Shiny, from the people behind R Studio. R Shiny allows you to quickly and easily build ...

Introduction to Data Visualisation and Web Applications Using R This course introduces the key aspects of data visualisation using R, with applications of powerful R tools to generate clear graphics ...

This course aims to introduce the statistical software package R, focusing on providing the starting point needed to exploit R’s huge potential for statistical analysis. Please click on the sections ...