All answers are good, but I'D like to point out a very related question: "How much maths should you we willing to learn when getting into DS and ML?" Because you can learn it, but there's a lot, and even if languages and tools later do the maths for you, you still need to understand - especially in statistics - the underlying assumptions to know if you can use this formula/method, and to understand the outcomes.
So you can get started without a huge maths background, but you'd better want to learn a lot of maths during this journey.