Ever wonder how the Netflix recommendation engine works? Or how Amazon determines which items you may also like? All of this is made possible by training a computer to learn using the large amounts of data that exist in these systems.This course offers a practical introduction to the interdisciplinary field of data science and machine learning, which exist at the intersection of computer science, statistics, and business. Youll learn to use the Python programming language to help you acquire, parse, and model your data. A significant portion of the course will involve hands-on training in fundamental modeling techniques and machine learning algorithms. These enable you to build robust predictive models of real-world data and test their validity. Youll also gain practice communicating your results, as well as insight into how to build more intelligent systems that take advantage of the data you have.