University of California, Los Angeles 4 credits Communication
Lecture, two and one half hours; discussion, one hour. Beginner-friendly inquiry into the practical applications of Python in social sciences. Ideal for processing large datasets and automating tasks, Python’s versatility extends to visualization and artificial intelligence. Students learn the basics of Python coding, and focus on the essential Pandas library for data analysis. Study adopts a project-oriented approach, allowing direct application of skills in social science scenarios. Exploration additionally of use of ChatGPT to accelerate coding learning process. May be repeated once for credit. Letter grading.
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