I have data science projects coming up in a university course in the upcoming quarters, and I was interested in using financial/economic data since there is so much of it. Also, I do have a hobby for trading, so I felt that this would be a good area to try and practice data science in.
So far I have collected a large amount of stock market data from the Americas, Europe, and Asia. Additionally, I've been collecting foreign exchange data, GDP, interest rates, and yields. I'm interested in other possible data sets that are worth looking into as well.
However, I'm quite lost as to how to approach these large data sets. I feel that in the professional sphere, the first step would be to analyze the data to try and get an idea of what the global picture is like. I'm not sure exactly how professionals would examine the data, despite having taken some micro/macroeconomics courses in university.
Can someone give me some tips?