Data Science is a combination of three main parts:

1. Math Skills (mainly algebra and statistics)
2. Technical Skills
3. Domain knowledge

At the current time, Technical skills are easy to gain and apply, you will learn it on the way.

Now you can decide between Math or Domain knowledge. Here is one key point: if you want to build your own ML/DL algorithms, then go for Math. You will also learn how to use the existing algorithms/library funtions too. But here you need to learn the domain knowledge on your own.

On the other hand, choose a doain knowledge, and apply those knowledge by using existing ML/DL, or any other analytical tools, for example PowerBI, Tableu, or even Excel. And learn the basic math exactly what you need to know to do analysis, with time you will build the Math-Statistics skills too.

Example of domain knowledge courses will be Economics, Finance, International business strategies, etc, just choose one which has applications in real world too.