Courses Details

BIOSTAT607: Basic Computing For Data Analytics

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 1-3 credit hour(s) for residential students;
  • Instructor(s): Nicholas Henderson (Residential);
  • Prerequisites: No other courses
  • Advisory Prerequisites: It is recommended that students with no programming knowledge co-enroll in Biostat 600 or contact the instructor to discuss the best options
  • 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
  • Syllabus for BIOSTAT607
HendersonNicholas
Nicholas Henderson