Hi everyone, I’m a fresh graduate and I’m at a stage where i am completely lost. I know the fundamentals of data science, but i feel stuck on how to advance further. Like i know the machine learning, i know the statistics, the EDA, the CNN, the RNN… But i am not sure how to move beyond this point. I don’t want to retake beginner courses that repeat what i already know. At the same time, i dont feel like an expert in the topics I’ve learned. I also haven’t stsrted with LLMs yet, but i do have a long list of courses in mind, it’s overwhelming to figure out what to start with…
What i really want is guidance on how to advance my skills in a way that makes me strong in the job market and actually get a job. I dont want the theory that leads me to nowhere… i want what’s valuable for the industry but idk what it is, is it MLOps is it AWS i am so lost.
How do you guys become job ready? Did anyone go through this phase? Any advice?
submitted by /u/BerryPopular2821 to r/learnmachinelearning
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