QBS 103 Foundations of Data Science

Strong programming and mathematics skills are the crucial foundation for any data scientist. In this course, students will have a boot camp style introduction to programing in R and review of critical linear algebra and calculus that will serve as the foundation of many of their courses in this program. Students will be exposed to introductory programming practices, data visualization, data wrangling, introductory data analysis, type setting in LaTeX, using GitHub repositories, and High Performance Computing (HPC). During the calculus review, exercises in topics such as linear algebra, sequences and series, and derivatives and integration will be provided.

Mandatory for QBS PhD & MS students upon matriculation.

Open to only QBS students unless otherwise approved.

Instructor

Dr. Carly Bobak

Prerequisite

Calculus, Multivariate Calculus, Linear Algebra. Previous coding experience highly recommended. Instructor/Administration Permission for Non-QBS Students