NEU/PSYC231. Data analysis in Python
This course will cover a variety of data analysis methods implemented in Python, including model fitting, timeseries analysis and machine learning algorithms. Some programming experience in any language is helpful but not required GitHub repo
PSYC102. Sensory Neuroscience
Core upper division class for Cognitive and Behavioral Neuroscience majors. Covers intro-level analysis of sensation and perception in the domains of vision, audition, smell, taste, and touch. A strong emphasis is placed on recent single-unit recording, lesion, and fMRI studies that examine the neural mechanisms that support our perceptual experience of the external environment.
PSYC193. Experimental Data Analysis in Python
Intro to the Python programming language and basics of data analysis using NumPy, Pandas, and Matplotlib GitHub repo
Department of Psychology, University of California San Diego