Feeling overwhelmed — Where should I learn Data Science as a beginner?

Hey everyone,

I’m just starting out in Data Science and I feel a bit overwhelmed. There are so many resources, bootcamps, YouTube playlists, and courses out there that I don’t know where to begin.

My main goal is to build a solid foundation first and then go deeper into the more advanced stuff like machine learning. I’ve seen courses like the IBM Data Science Professional Certificate on Coursera, 365 Careers on Udemy, Krish Naik’s content, CampusX’s 100 Days of ML, and many more. But I’m not sure which ones are actually worth my time and will help me learn in-depth, not just surface-level.

If you’ve been in my position, where did you start? Which courses or learning paths actually helped you gain real skills and confidence as a beginner?

Any honest advice would mean a lot. Thanks!