CAIS 0105 - Introduction to Data Science

Credits: 3

Crosslisted: MATH 0113  .

This course teaches basic concepts and techniques of data science such as correlation, regression, null-hypothesis testing, and Bayesian inference. The course is part of a trend in data science education towards emphasizing conceptual understanding rather than computational fluency. The course emphasizes the importance of problem-driven approach. Statistics software such as R and Python will be used to perform tests on large data sets.


Print-Friendly Page (opens a new window)
Close Window