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 ...

At Nylon Calculus, we receive frequent questions along the lines of “how do I get into basketball analytics?” The answer is almost always some form of “do some analytics!” Unfortunately, for many the ...

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 ...

In this short course we will provide a basic introduction to R. Topics will include loading, cleaning, visualizing and performing basic analysis on data. The first portion of the course will focus on ...

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 ...

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 ...

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 ...

The world is becoming increasingly more data-driven, prompting the need for those capable of analyzing mounds of information. With the Complete Introduction to R Programming Bundle, you can cash in on ...

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 ...