DAS 105 Introduction to Data Science I
This course is a hands-on, beginner-friendly course designed for students eager to dive into the world of data science. No prior experience with programming or data science is required. By the end of the semester, students will have the foundational skills to analyze real-world data using the R programming language. This course introduces students to the application of data science across various fields—such as healthcare, finance, social media, and sports—through engaging, real-world examples. Students will develop the skills necessary to extract insights and make informed decisions using data. The course starts with an overview of data science and its workflow before delving into topics like data visualization, data transformation, and result interpretation. Students will also learn to work with different data types and how to manipulate and clean data to simplify analysis.
Prerequisite
Pre- or co-requisite: MAT 55, MAT 101, MAT 102, or instructor approval.
Distribution
Bachelor, In-Person, Major, Online, Undergraduate