IS 490RB2 Advanced Data Science

This course will introduce advanced data science concepts by building on the foundational concepts presented in IS 490RB - Foundations of Data Science. Students will first learn how to perform more statistical data exploration and constructing and evaluating statistical models. Next, students will learn machine learning techniques including supervised and unsupervised learning, dimensional reduction, and cluster finding. An emphasis will be placed on the practical application of these techniques to high-dimensional numerical data, time series data, image data, and text data. Finally, students will learn to use relational databases and cloud computing software components such as Hadoop, Spark, and NoSQL data stores. Students must have access to a fairly modern computer, ideally that supports hardware virtualization, on which they can install software.

Recent syllabus

Textbooks and Course Materials

Available from the Illinois Union Bookstore (IUB).