I’m not in data science, but my question is what CS fundamentals like that have to do with DS. I thought it would have to do with data cleansing/storage/access etc, statistics/ML, and then the stuff relevant specifically related to computing statistical or “machine learning” stuff (optimization, how do you get a gradient, basic numerical stuff). And then maybe stuff like parallelization at large scale. And then just knowing how to use your libraries of choice