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I did linear algebra longtime back in the college and also got exposure of the subject in econometrics and statistics course. But always I felt some gaps - this course provides a good link between usual approach plus programming intuition and why ? Stuff like Matrix Vector Multiplication, LU Decomposition and QR Decomposition , orthogonal projection etc. The course has been developed with a lot effort and research, it starts with simple intuition and builds up the concept very well and every exercise has been chosen for a specific purpose - to introduce a concept in the latter stage. Another unique part of the concept mainly emphasized by Robert is "understanding" matrix and vector by slicing and dicing - which gives an extra edge in visualization, why is happening and why. I would say anybody want to pursue econometrics , statistics and machine learning should start with this. After this course you will be a good position to pursue those subjects at ease.