Over the past few years, the database world has seen a plethora of new database types appear: document, key-value, graph, and columnar. In addition, data science professionals also have the old giant—relational database management systems (RDBMS)—as an option. Typical data science and analytics use cases have now expanded to text, social media, IoT, and the cloud. With so much to consider, how do you choose the right database for your specific data science project? This course can help by sharing what you need to know to make an informed decision.