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 ...

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge and computer programming. Organisations are turning to customer data in order to ...

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

From counting steps with a smartwatch to visiting this website, nearly everything we do generates data. But just collecting statistics, measurements and other numbers and storing the information is ...

Survival analysis involves the consideration of the time between a fixed starting point (e.g. diagnosis of cancer) and a terminating event (e.g. death). The key feature that distinguishes such data ...

Navigating the ever-evolving world of data analysis can feel overwhelming, especially with the sheer number of AI tools, platforms, and certifications available today. Whether you’re just starting out ...