RDS100 Introduction to Data Science
RDS 100 Introduction to Data Science introduces the foundations of data science through programming and exploratory data analysis. Students will develop essential coding skills, use version control, apply basic data cleaning and wrangling techniques to prepare datasets for analysis, and create effective visualizations. Core topics include an introduction to statistical inference, regression, classification, and clustering. Emphasis is placed on reproducible workflows in notebooks, enabling students to build confidence in coding while analyzing real-world datasets.
Prerequisite
Minimum grade of 60% in Pre-Calculus 12 or equivalent