Introduction to problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, and arrays. Laboratory exercises in Python.
DurationIntroduction to problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, and arrays. Laboratory exercises in Python. Laboratory course.
To remain competitive in rapidly evolving industries such as commercial real estate, financial services, fundraising, law, and genealogy—among others—you need to be aware of current and emerging best practices, obtain industry-standard credentials and certifications, and master changing technology.
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