Since 2022, we have our own label (DS) for courses that specialize in data science. As data science is interdisciplinary we collaborate with Mathematics and Statistics (MATH), Computer Science (CSE), Information Systems (CIT), and design thinking (ART) to complete our data science curriculum.
Together with Data Science Society, your coursework should be leveraged to build a strong data science resume
Course Website: DS 250: Data Science Programming Course Texts: Python for Data Science BYU...
Course Website: DS 350: Data Wrangling and Visualization Course Texts: R for Data Science ...
Course Website: CSE 450:Machine Learning & Data Mining Course Texts: Embedded in Course ...
Course Website: DS 460: Big Data Programming and Analytics Course Texts: Learning Resources ...
Course Website: BYUIDSconsulting Course Texts: Ethics and Data Science Readings BYU-I Cata...
Course Website: None Course Texts: None BYU-I Catalog: Details Offered Online: Yes Cou...
Course Website: Math 119: Applied Calculus for Data Analysis Course Texts: OpenStax through ...
Course Website: Senior Project Course Texts: Student selected readings BYU-I Catalog: Deta...
Course Website: None Course Texts: Intermediate Statistics by Garrett Saunders BYU-I Catal...
Course Website: None Course Texts: By semester BYU-I Catalog: Details Offered Online: No...
Course Website: DS 150: Data Intuition and Insight Course Texts: Supplemental Materials and ...
Course Website: CIT 111 Pages Course Texts: None BYU-I Catalog: Details Offered Online: ...