- Single Variable and Multivariate Calculus from MIT-OCW was my first ever MOOC. Was in Junior year in High School. This changed for my whole life how I see Mat

- Single Variable and Multivariate Calculus from MIT-OCW was my first ever MOOC. Was in Junior year in High School. This changed for my whole life how I see Math, learning, and knowledge itself. Before it, I was just a algorithm-following, practicing, A+ getting student with not much love for Math. This enabled me to learn Math properly. - Not a MOOC, but I read Fundamentals of Physics by Halliday, Resnick, Walker, and it also had the same big impact on me- in terms of changing my whole worldview about learning and knowledge and books. - In my last year of college, I took IBM Data Science Professional Certificate course on Coursera. It did not have much technical depth at all. But it introduced me to Data Science. - Then I took Andrew Ng's ML and DL on Coursera. Learned a lot. Connected the dots from back. Learning the Math properly that was triggered by MIT-OCW, finally paid off as all ML concepts were promptly undetstood by me. - fast.ai course. It helped me build practical AI projects. Jeremy Howard is among the best instructors out there. I got my first job after this course. I made a lot of projects as well. - Deep Learning course by Yann LeCun and Alfredo Canziani from NYU. Learned most DL from this course. It has made me a much better researcher. ____ What has had the most impact in my life is that I learned Math properly early in life. I don't mean like being a Math whiz. I was never that, and never tried. But understanding each concept in Math from the ground up- from HS Junior year to Master’s degree- has made all the difference. ____ Not impactful yet, but learning came in a full circle after going through: - Mathematics for Machine Learning from Imperial College, London. - Computational Neuroscience from Neuromatch Academy. It has unlocked the "Hacker mentality" in me.