If your plan to become a data scientist involves learning:
1. Calculus 2. Matrix multiplication 3. Linear algebra 4. Graph theory 5. How every algorithm "works" 6. Coding algorithms from scratch 7. Advanced probability theory (with proofs)
Then you're wasting your time.
How do I know?
Because I've wasted a lot of time in my 10+ year journey.
And it cost me jobs I couldn't have gotten quicker and promotions I could have had faster. 😡