Hi everyone! I was doing MIT’s Calculus 1A (Differentiation) course on EdX and I really loved it (it’s one of the best mooc courses I ever taken!) and I wanted to continue my Calculus studies with their courses. It makes me very sad, but after starting their Integral course, I had to realise that I can’t do both Dataquest and MIT’s Calculus at once.
So my question is, how much Calculus knowledge is required for Data science?
I saw that there is Calculus included in the Data Science path here. Do you think it’s enough for a start? If not, do you have any recommended (not as detailed and theory heavy as MIT’s courses) resources?