About this Course
Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program. This specialization is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application , which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com
What You'll Learn
- Compute simple derivatives
- Convert linear systems into matrix notation
- Apply Singular Value Decomposition to matrices
Prerequisites
- Basic math and terminology familiarity
- Preparedness for applied exercises
Instructors
Jane Wall
Faculty Director of Data Science Programs
James Bird
Instructor