Introduction to Programming for Data Analytics (in Python).

Catalog description

Fundamentals of the software development process with emphasis on program design (software structure and algorithm development), structured programming techniques, coding, and testing using the Python programming language. Topics include literals, variables, arithmetic and relational operators, selection statements, loops, functions with parameter passing, arrays, lists, sets, dictionaries, tuples, terminal and file I/O, exception handling, and introduction to domain-specific Python libraries used for data analytics, graphics, statistics, and database, as appropriate for students taking the course.