DATA 211

Data Science and Visualization

4 Undergraduate credits
Effective May 3, 2018 – Present

Graduation requirements this course fulfills

An introduction to methods and techniques commonly used in data science. This course will provide hands-on practice of the methods, procedures, and tools used to summarize and visualize data, preparing students to use data in their field of study and in their work, and to effectively communicate quantitative findings. Topics will include visualizations to transform data into information in a variety of contexts, relational databases, ethical issues with the use of data, and using the statistical programming language R for data analysis. Students will complete a data science project.


Special information

Note: Students whose prerequisites are not identified by the system would contact the Math and Statistics Department for an override at First day attendance required except by instructor permission.

Learning outcomes


  • Interactive lectures (discussion) used to develop students skills to listen, take notes, process what they are hearing, and ask questions
  • Student-to-student interactions in order to complete the in-class activities and homework/lab assignments
  • Readings outside of class on ethics involved in data science
  • Assessments used to promote and advance a student's problem-solving skills that may include written exams, homework/lab assignments, and group projects.