The target audience would be people that have roughly 2 years of undergrad math, the 4 semester calc sequence or high school equivalent, probability/stats, linear algebra, some computational courses using e.g. Numerical Analysis by Burden/Faires.
If you look in Goodfellow et al's Deep Learning book, Murphy's Machine Learning text and others mentioned here (Learning from Data, Shalev-Shwartz/Ben-David) the prereq's are always some variation of above and I think you could do a lot of the above at U.S. community colleges, at least the CC's around me.
Frankly, you'd have to do a bunch of self study beyond CC and there's no shortcut/royal road. So the key is self study, that's a discipline anyone that wants to do Data Science/machine learning for real needs
If you look in Goodfellow et al's Deep Learning book, Murphy's Machine Learning text and others mentioned here (Learning from Data, Shalev-Shwartz/Ben-David) the prereq's are always some variation of above and I think you could do a lot of the above at U.S. community colleges, at least the CC's around me.
Frankly, you'd have to do a bunch of self study beyond CC and there's no shortcut/royal road. So the key is self study, that's a discipline anyone that wants to do Data Science/machine learning for real needs