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 ...

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 ...

February 12, 2026. This hands-on workshop will provide an introduction to Shiny including the principles of reactive ...

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 ...

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 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 ...

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 ...

From IDE plugins to external chatbots and running LLMs locally, these new and emerging tools are bringing the generative AI revolution to R. My previous article focused on some of the best tools for ...

The R programming language has been around since the early 90s. While it’s always been a workhorse among those charged with sorting and manipulating large data sets, the open source language may only ...

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 ...