DA 310 Introduction to Analytics • 5 Cr.


Introduces the importance of data management, data analysis and data representation. Includes the use of common statistical tools and their applications in decision-making and research. Emphasis is on quantitative and technology based analysis of real world problems to improve decision-making in various disciplines, along with report writing and presentation skills. Prerequisite: Admission into the BAS Data Management and Analysis program and BUSIT 103 with a grade of C or better; or admission into the Molecular Biosciences program and PROG 108 with a grade of C or better; or permission of the instructor.


After completing this class, students should be able to:

  • Assess how data analytics can ¬≠be used to solve business problems
  • Explore career paths related to data analytics
  • Utilize common technological tools in service of data handling
  • Employ SQL to work with data sets and build data applications
  • Appraise the merits of Python and R to manage data sets
  • Evaluate results to form conclusions that inform future actions
  • Provide reports and recommendations to stakeholders to inform their next steps