CS 2545
Data Science Fundamentals
Learn fundamental concepts of data science in preparation for dealing with the challenges of data analytics . Gain knowledge of Python programming basics and Python libraries for data analysis . Learn data wrangling techniques, such as data preparation, cleaning, reshaping, and manipulating data . Develop knowledge of data visualization techniques, and incorporating statistical data analysis methods, including probability distributions, sampling, estimation, and hypothesis testing . Explore machine learning and other special topics , such as geospatial data analystics and causal inference. NOTE : Credit can be obtained for only one of CS 2545, STAT 1001 , DATA 1003 .
Prerequisites & course information
Prerequisite : CS 1073 or CS 1093 .
Sources
- Course catalogue ↗2026-2027