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So what is the best way to prepare given my situation?

Right now I'm reading Introduction to Statistical Learning and Elements of Statistical Learning. I wonder if its worth it.

What stepping stone positions would help me break in?

Would Kaggle Help? I only know Linear regression and Generalized Linear regression off the top of my head. I forgot about Baysean methods and Longitudinal Regression, though I can review if need be.

What about Machine Learning Algorithms? I know how descent algorithms works, but it seems lots of packages have these built in already. So skip these?

I know R and some Python. Some OOP but rusty.

I just need a catch-all list of the skills I need. For the domain knowledge of the company, Ill just prep for those once offered the interview.

I don't care to get into a top company at this point. Most important thing to me is that I kickstart my momentum so that I can actually get somewhere.

I feel like I'm running out of time.