ESI 4610
Introduction to Data Analytics
Provides a basic understanding of the skills necessary for managing and analyzing data. The concepts covered include exploratory data analysis, data manipulation, data cleaning, data wrangling, and machine learning models. A basic understanding of data management with SQL is also provided. All the technical skills will be motivated by different examples involving data. Python is the programming language used.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: COP2273 or COP2271 and ESI 3215C with minimum grades of C. Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Introduction to Data Analytics · 3 Credits