Here we are. I am back again. It’s a new quarter, spring is here! Reading the last post I realised I need to structure and declutter my learning path.
For learning Python, I am choosing DataCamp. They have a Data Scientist Career Track which has 23 courses/ about 90+ hours of learning. However, in order to stay motivated and in touch with context, I also want to learn more about projects to which these methods can be applied.
So there are three parts to my learning path:
Syntax and programming language – Python in DataCamp
Statistical Methods – Program Eval at University and the Stanford course I mentioned last time
Big Picture – I am a little unsure of how to go about this – maybe go through projects on Kaggle or read papers on application of Data Science in the Social Sciences
Let’s see. The number of choices and resources available to learn the subject are just so many, it is overwhelming. I am using this blog to keep me anchored as I slowly navigate through this fascinating yet intimidating world of data science.
Best
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