CS II: Analyzing Data with Python

Course Overview

In this course, students utilize the Python programming language to read, analyze, and visualize data. The course emphasizes using real world datasets, which are often large, messy, and inconsistent. Because of the powerful data structures and clear syntax of Python, it is one of the most widely used programming languages in scientific computing. Students explore the multitude of practical applications of Python in fields like biology, engineering, and statistics. Prerequisite: Completion of Computer Science I: Computational Thinking or its equivalent.

NCAA-approved course

UC-approved course

Course Outline

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Competencies

• Utilize Python language constructs to write non-linear programs that execute without error
• Create and manipulate multiple Python data types and objects
• Leverage a variety of data sources and complex data structures to generate solutions to complex data-driven questions