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 Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

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 ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

Data modeling best practices help define a formal process that gives structure and direction to an organization’s data. Read more about data modeling now. Data modeling, at its core, is the process of ...

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 ...

Jasmin Perez is in math class, and her assignment is to figure out how likely she is to die. It’s an unusual exercise in the world of high school math, where most students are calculating angles or ...