Loyola University Maryland

Data Science

Learning Aims

Students will be able to:

  1. Utilize descriptive and inferential methods to solve data intensive applied problems.
  2. Write computer programs in languages used for data science (e.g. Python, R) to collect, clean, and analyze data.
  3. Formulate data science questions and apply a variety of data analysis techniques for data discovery, description, prediction, and prescription.
  4. Communicate data science results in oral, written, and visual forms to technical and non-technical audiences.
  5. Advocate for ethical decisions in the use of data.
Paul Tallon
Faculty

Paul Tallon, Ph.D.

As a professor of information systems, Dr. Tallon yearns for his students to engage in the burgeoning world of technology

Information Technology and Operations Management