You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

Introduction to Big Data (DT102) provides the fundamentals needed to allow organizations to turn data into actionable information. Starting with an overview of big data, which covers key enterprise ...

Collection of data is an essential aspect of most projects in many areas of health research, observational studies, qualitative work, and Randomised Controlled Trials. Many staff are tasked with ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...