PSY 224 - Introduction to Data Science in Psychology

This course is an introduction to data science, machine learning, and artificial intelligence in psychology. Students will be introduced to a wide range of topics, including data gathering and cleaning, machine learning implementation, feature analysis, and the ethical considerations for the application of machine learning. Students will get an introduction to RapidMiner, Python using Jupyter Notebooks, and visualization libraries using Seaborn.

Unit(s): 1
Group Distribution Requirement(s): Distribution Group III
Instructional Method: Lecture-conference-laboratory
Grading Mode: Letter grading (A-F)
Not offered: 2024-25
Group Distribution Learning Outcome(s):

Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.