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 ...

Are you dealing with massive amounts of data? Maybe you're trying to run some very complicated calculations. If so, you shouldn't be working within the limits of a spreadsheet app -- you should use a ...

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 ...

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 ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors ...

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 ...

R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides introduction to R programming basics, such as data ...

R is an open source programming language especially designed for manipulating data and performing statistical analysis. It is very similar to SAS Enterprise Guide except: R is a programming language.

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...

This course is designed to provide students with a hands-on introduction to programming skills and analytic concepts in R. Participants will address analytical challenges that a public health data ...