I've archived here a few resources for reviewing or extending your
linear algebra knowledge for masters' level statistics.

I listed the resources in order from shortest to longest:

01 - 07_Linear_Algebra_Review.pdf

     A set of review lecture notes (35 pp) on linear algebra basics,
     with an eye toward least-squares regression

     If you want to watch a whole semester-long class on linear
     algebra, this link to Gilbert Strang's lectures is useful:

     https://www.youtube.com/watch?v=QVKj3LADCnA&list=PL49CF3715CB9EF31D

     (note that Strang does not consider applications to Statistics,
     many of the topics in these lectures are directly relevant to
     Statistics)
     
02 - matrixcookbook.pdf

     A short review textboox (72 pp) with most of the basic linear
     algebra you'd need for masters' level (and some PhD level)
     statistics and data science
     
03 - Matrix Algebra Review - STAT ONLINE.url

     This is a link to an online reading course offered by Penn
     State.  It might be easier to consume than a textbook, but it
     doesn't have quite as much material as matrixcookbook.pdf

     The link is

     https://online.stat.psu.edu/statprogram/reviews/matrix-algebra
     
04 - recommended books.docx

     These are regular textbooks devoted to matrix algebra for
     statisticians.  I don't know these books well, but their tables
     of contents (on Amazon) look good.  They are listed in the order
     that I would check them out.