5. What are the benefits—and what’s worth noting?

It’s highly rated and widely accessible—great for building confidence and foundational knowledge in data science.
Learning tools like Jupyter, SQL, GitHub, and Python is practical and transferable across many roles.
It’s a solid stepping-stone, but not comprehensive—real-world mastery requires deeper learning and practice. Online forums discuss how specializations like this help start careers, yet emphasize that projects and continued learning are key.