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It depends on what you want to do. If you just want a working knowledge of linear algebra that you can use in statistics, data science, etc. then Strang's course is *nearly* good enough to just go forward. In particular, you should read up on PCA (I found this very useful: https://www.cs.princeton.edu/picasso/mats/PCA-Tutorial-Intuition_jp.pdf) and don't fade on SVD!! It is extremely important in all sorts of applications! In fact, the 2020 version of 18.06 is restructured so the SVD is covered over multiple lectures, starting as early as lecture 5 (https://github.com/mitmath/1806/blob/master/summaries.md)!