This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Regardless of your career choice, you will always need a ...

R is an open source programming language especially designed for manipulating data and performing statistical analysis. It is very similar to SAS Enterprise Guide except: R is a programming language.

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a ...

Overview:Biostatistics courses now effectively combine theory with real-world healthcare datasets and analytical ...

Description: Use of the SAS software system for managing statistical data. The SAS environment. Data description. Data access and management. SAS macro language and application development.

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

A study of the key processes and concepts underlying reproducible data visualisation in statistics. Applications include mapping, time series forecasting and visual inference across all domains. The ...

General purpose computing on graphics processing units (GPGPU) has been popular for a long time, as inexpensive graphics cards (normally used for advanced computer games) can also be used to speedup ...

The MSc in Statistics provides intensive training in statistics applicable to the social sciences, economics and finance. The MSc in Statistics provides intensive training in statistics applicable to ...