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 ...

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 ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

This hands-on workshop will use actual datasets with step-by-step instructions that you can begin applying right away in your projects, so don't miss out! Learning outcomes: Determine your needs vs ...

This course introduces the key aspects of data visualisation using R, with applications of powerful R tools to generate clear graphics and fully reproducible documents (e.g. analysis reports), and to ...

Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...

R is an open source statistical programming language, created specifically for data analysis. R is extremely versatile and this makes it a popular choice for health researchers. Many of the ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

While the course covers theories of Machine Learning and tools such as R, the focus is on using them for solving data-driven problems. The students will be introduced to several real-life problems ...

Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...