CS II: Analyzing Data with Python

Course Overview

In this course, students will utilize the Python programming language to read, manipulate and analyze data. The course emphasizes using real world datasets, which are often large, messy, and inconsistent. The prerequisite for this course is familiarity with and hands-on experience using some high level programming language, such as Java, Javascript, C++, or Python itself. Because of the powerful data structures and clear syntax of Python, it is one of the most widely used programming languages in scientific computing. There are a multitude of practical applications of Python in fields like biology, engineering, and statistics. Prerequisite: CS1: Computational Thinking, completion of an introductory programming course, or permission from the instructor

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