If you pick up advanced statistics textbooks, mentioned later, you'll find that most of the code examples will be in R ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

Data is one of the most essential commodities for any organization in the 21st century. Harnessing data and utilizing it to create effective marketing strategies and making better decisions is ...

A new approach for exploratory factor analysis (EFA) of data matrices with more variables p than observations n is presented. First, the classic EFA model (n > p) is considered as a specific data ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

This course is compulsory on the MPhil/PhD in Statistics. This course is available with permission as an outside option to students on other programmes where regulations permit. A knowledge of ...