"Mathematics for the Nonmathematician" https://www.amazon.com/Mathematics-Nonmathematician-Morris-K...
or
"Mathematics for the Million" https://www.amazon.com/Mathematics-Million-Master-Magic-Numb...
Of the two I prefered Kline's book but they are both good, albeit a bit heavy on geometery as that was a big focus of early math research.
Another great starting point is "Book of Proofs" and "Introduction to Mathematical Reasoning" to give you a deeper sense of how to approach the subject.
https://www.amazon.com/Book-Proof-Richard-Hammack/dp/0989472...
https://www.amazon.com/Introduction-Mathematical-Reasoning-N...
From there I went down this path (the order of which is up to you, each has tons of good source material):
-> Proofs/Logic
-> Algebra
-> Linear Algebra
-> Calculus
-> Abstract Algebra
-> Set Theory
-> Group Theory
-> Category Theory
-> Statistics/Probability
-> Discrete Mathematics
I never did well with learning math in a classroom but I've grown to love math through this process. There are lots of applications in programming as well. It makes approaching the deeper parts of Haskell/FP, data science, and machine learning much more accessible. I particularly liked the higher level Abstract Algebra stuff over the more grinding equations of calculus/linear algebra as it was more similar to programming.
