The result was Athenic AI, a company that uses AI to run data analytics for enterprises across all of their data sources.

While traditional data science practices have paved the way for critical insights and informed decision-making, AI has ...

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks ... This tutorial is not meant as an introduction to Python. For that, you should search elsewhere on ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...

An introduction to internal and external organisational data, mechanisms to obtain, analyse and interpret that data, and performance indicators used to define and assess the operational and financial ...

The accurate use of data is important as it allows for sensible conclusions to be reached. Percentages close percentageA proportion representing parts per hundred, for example 9% is 9 out of 100 ...

The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to ...

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises. The basic topics covered will include: 1) the ...

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises. The basic topics covered will include: 1) the ...