<p>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&#39;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.</p>

Communication

College of Letters and Science

COMM 158 - Python for Social Sciences

Python for Social Sciences

4. Good Coding Practices: Emphasize writing safe, readable, and maintainable code.

3. Python Essential Libraries: Understand key Python libraries for data processing, such as Pandas.

2. Python Syntax and Structures: Focus on basic Python syntax and data structures for problem-solving. 

5. ChatGPT for Coding: Utilize ChatGPT to enhance learning speed and assist with debugging tasks.

1. Beginner Coding Introduction: Introduce students to basic coding with an emphasis on Python.

General Catalog

Python for Social Sciences

COMM 158

4 units