Linear Algebra for Data Science
A mini-course in Linear Algebra for Data Science
This online workshop reviews topics in linear algebra to help students prepare for MATH 677 Mathematical Foundations for Data Science in the Masters of Science in Data Science at Texas A&M University.
For more information on the M.S. in Data Science, please consult the program pages at the Texas A&M Institute of Data Science for further information.
This course is a collaboration between the Math Learning Center and the Texas A&M Institute of Data Science.
Resources
This mini-course references and uses exercises from the following textbooks:
- Linear Algebra with Applications by W. Keith Nicholson; available as an open educational resource online (many of the exercises from the Nicholson text are copied directly onto the section pages for ease of use.)
- Introduction to Linear Algebra by R. Fioresi and M. Morigi; available through TAMU Library as an e-book
Format
- Each session below contains a video covering the listed topics.
- Each video has homework problems you should attempt after watching the video.
Summary
Reviews topics in linear algebra to help students prepare for MATH 677 for Data Science in the Masters of Science in Data Science
Skills
Target Audience
Students preparing for MATH 677 in Data Science or any student looking for an introduction to linear algebra