This is an applied introductory course for learners who wish to harness growing digital and computational resources. The focus of the course is on using data to identify patterns, evaluate the strength and significance of relationships, and generate predictions using data. These techniques are implemented using a reproducible workflow through the use of programming languages and version control software. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. Students will learn how to use data to make effective arguments, in a way that promotes the ethical usage of data.
INFO 2950 is a required course for Information Science majors at Cornell University.