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 ...

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 ...

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.

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 ...

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 ...

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 ...

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 ...

Students enrolled in the Introduction to Data Analytics course at Lee University are gaining hands-on experience with real-world data and industry tools, preparing them for the growing demand in ...