Breaking into data analytics can feel like a long journey, full of learning, interviews, and sometimes a bit of waiting.

Everyone’s path is different some find roles quickly, while others take months or even years.

This question is for everyone who’s been through the process or is currently navigating it.

Sharing your story how long it took, what helped you get there, and what kept you motivated – can make a huge difference for those still on the path.

I’m looking to build a strong foundation in Python specifically for data analysis. I’m curious about the core Python libraries and concepts that are most frequently used in this field. For example, which aspects of NumPy, Pandas, Matplotlib, and Seaborn are absolutely essential? Are there any other important Python modules or programming concepts I should prioritize?