I'm currently pursuing a Master's in Data Science, and my journey began with RStudio. Although I've been actively applying what I learn in my courses and pushing myself through school projects, I'm feeling quite lost. I've taken two intensive 7.5-week courses so far, and I really don't feel like I've gained any meaningful knowledge. My next courses covered the basics of Python and SQL, but I struggled the whole way through and nothing seems to stick. I feel a bit trapped; I've been postponing putting Python to use in my work environment, and now I feel like I've lost my momentum. Although I'm getting good grades, I can't shake the feeling of being a fraud—what do I really know about Python?
1 Answer
Python is fantastic for data science, and once you get the hang of it, it feels like building with Lego. Start small—maybe experiment with the basic libraries like pandas and NumPy. If you're working in data science, try creating a simple API to serve one of your models using FastAPI. Then, think about adding functionality to validate your model with production data. You can build alerts for when your model isn't performing as expected, and look into automating the generation of new models for validation. This way, you'll slowly build your confidence and skills without overwhelming yourself.
This workflow advice is super helpful! Thanks for the encouragement.