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 ...

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 ...

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 ...