Yellow cover of Python for Financial Analysis. This practice exam is from 365 Data Science.

Python for Financial Analysis

In a heavily regulated industry like fintech, simplicity and efficiency is key. Which is why Python is the preferred choice for programming language over the likes of Java or C++. In this free practice exam you are a university professor of Applied Economics and Finance, who is focused on running regressions and applying the CAPM model on the NASDAQ and The Coca-Cola Company Dataset for the period between 2016 and 2020 inclusive. Make sure to have the following packages running to complete your practice test: pandas, numpy, api, scipy, and pyplot as plt. 

Martin Ganchev
Course Author
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Who is it for

Any Data Scientists, Python Developers, and Business Professionals who want to contribute their programming and quantitative skill to the world of finance and fintech will want to take this quick practice assessment to evaluate their skills.

How it can help you

If you want to know how to calculate regressions, run CAPM models, calculate the expected return of a stock, estimate the Sharpe ratio – essential skills for any data professional then take this free practice test to find out what your skill level is.

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Python for Financial Analysis