Knowledge

This course will introduce you to participatory approaches to public health. You will learn about the history of participatory health research and why it is essential to solving contemporary public health challenges. The course will help you to understand the social and cultural context of public health, before introducing [...]

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate [...]

The theory of Agile is simple. However, it takes experience, knowledge, and expertise to scale it successfully. In this course, you will focus on leading change at an organizational level and scaling Agile appropriately. When studying Agile application success stories and theory, it's easy to think in terms of [...]

This specialization offers the latest developments in blockchain technology through a highly engaging learning experience with animated video components and intuitive course flow to maximize your knowledge retention.

This specialization offers the latest developments in blockchain technology through a highly engaging learning experience with animated video components and intuitive course flow to maximize your knowledge retention.

In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be [...]

Welcome to The City and You: Find Your Best Place. I'm excited to have you in the class and look forward to your contributions to the other learners in our community. This free course will provide the knowledge and the tools needed to understand what cities do, why they [...]

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine [...]

For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size [...]