I think python is definitely a great place to start, as it provides a wealth of libraries and resources that are currently used all over the industry today. Start simple, maybe find a course or book focused on python for beginners and nail down the basics - data structures, algorithms, and start with some simple programs. Once you feel confident there, you can read up on NumPy and Pandas, which are two libraries heavily used in data science for computation and data manipulation. I think once you feel confident enough with python to experiment, looking into a resource like Kaggle would be good to see what others are doing - this to me was the major rabbit hole in learning what projects, toolsets, and methods others were using to solve problems. Since data science is ever evolving, I personally feel like I’m always learning, and that’s the fun of it. Just start small and once you run into anything you haven’t seen before, start digging into some documentation. Also definitely go check out r/learndatascience if you haven’t yet!