Courses Details

PUBHLTH307: Basic Computing For Data Analytics

  • Undergraduate level
  • Residential
  • Fall term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): Nicholas Henderson (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: N/A
  • Description: This course is designed as a 3-credit modular course focusing on basic programming skills, including Python (1 credit), R (1 credit), and C++ (1 credit). The course covers key features of each programming language, data structures, basic data processing skills, basic data visualization skills (for Python and R), and basic UNIX skills. Students are allowed to take one or more modules according to the need basis.
  • Learning Objectives: (a) To understand key features of R, python, and C++ programming languages in a modular way. (b) To understand basic data structures, basic data processing skills, basic data visualization skills (for Python and R modules), and basic UNIX skills
HendersonNicholas
Nicholas Henderson