Build yourself a fintech data science toolkit for free with open source software

Excel has proved to be the tool of choice for (tens of?) thousands of traders and market analysts who have been doing data science -- finding relationships between assets and economic metrics -- since times before the category 'data scientist' even existed. But as the data sets get bigger and the patterns get harder to find, Excel performs substantially less well than the modern data scientist's toolkit. Now might be the time to wean yourself off Excel and get familiar with the new tools.

This presentation show how easy it is to install and use the open source applications you need. Robert Hardy will show how the same kind of data cleaning and analysis is done with Python.

The presentation will keep technical details to a minimum. If you have ever worked with Excel then you should be able to follow along.

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