In this hands-on, case study-based course, students will learn Python for data science, including Python Functions, String, List, Set and Dictionary, and Packages through guided lectures, labs, and get hands-on experience tackling interesting data problems from start to finish.

Follow the data pipeline, learn to use Python to extract, and transform data from a variety of sources via guided lectures and labs. In this hands-on, case study-based course, students will learn data collection, integration, understanding as well as data visualization, data processing, and how to apply it all to a project.

In this hands-on, case study-based course, students learn to use data analysis, Machine Learning, and Neural networks. More specifically, students learn classification, regression, ensemble methods, clustering, dimension reduction, and how to apply all of these tools and skills to decision making and a successful project.