Healthcare is chock-full of all kinds of data, which makes it one of the best fields to apply analytic data science techniques. Unfortunately, though, there are very few resources to learn about applying code-based approaches to healthcare-related use cases.

In this course, instructor Wuraola Oyewusi gives an overview of how to apply a wide variety of different data science and machine learning algorithms, drawing insights from specific examples of real-world data in healthcare. Explore scenarios, sample data sets, and decision-making processes in the context of disease prediction, sentiment analysis of patient opinion via online medication reviews, and radiology image detection using computer vision. By the end of this course, you’ll also be equipped with powerful exploratory data analysis skills to create visualizations using word clouds and Scattertext.