IS 407 AOG - Introduction to Data Science

Description:

This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered. Course Information: 4 undergraduate hours. 4 graduate hours.

Special Instructions:

Graduate student questions may be sent to ischool-advising@illinois.edu

Academic Program Restrictions:

EDM: Curr & Inst Online - UIUC EDM:Ed Pol Org&Ldrshp Onl-UIUC NDEG: Curr & Inst OnLine -UIUC NDEG:Ed Pol Org&LdrshpOnl-UIUC PHD: Informatics - UIUC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall , Spring , Summer