COMP_SCI 326-0
Introduction to the Data Science Pipeline
This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based on Python, although the idea can be applied to similar tools in other programming languages. As the outcome of this course, the students should be able to independently work on real-life datasets with large scales and gain insights from them.
Prerequisites & course information
Prerequisites: CS 212 and CS 214 or COMP_SCI MS or COMP_SCI PhDs or Instructor consent. SoC Mathematics, Science, and Technology Distro
Sources
- Course catalogue ↗2026–2027
- Catalogue entry ↗
Catalogue variants
- Introduction to the Data Science Pipeline · 1 Unit · Undergraduate