Learn how to use Jupyter, plus data analysis tools such as Pandas and NumPy, to perform some basic analyses on financial data. We'll also discuss a few ways in which time series analysis differs from regular statistics, and what Python tools to use for the job.
We'll use Jupyter, Pandas, NumPy, and a few statistical libraries to perform time series analysis on financial data. All of the tools are hosted on Quantopian's platform, so no setup or downloads are required. Here is the schedule:
You can find material to study in advance here, although no understanding of it is expected. The notebooks can all be accessed offline on the attendees own machines, however, the data will be unaccessible in this case and a local data source would have to be swapped in.
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