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UdemyPython for Financial Analysis and Algorithmic Trading
4.7(18,256)125k students
UdemyFinance professionals use Python to handle the volume and precision of data that spreadsheets can't touch. This course equips you with the libraries that power that work: NumPy for speed, Pandas for data management, Matplotlib for visualization, and Statsmodels for time-series forecasting.
You'll compute stock returns, measure volatility, model price trends with ARIMA, and optimize portfolios using Markowitz theory. The course moves into algorithmic trading using Quantopian, teaching the mechanics of signal generation and execution. Each technique connects to how practitioners actually structure this work.
Aimed at finance professionals adding Python to their skill set, developers building trading infrastructure, or data analysts moving into capital markets. You'll leave with working code, not theory.
Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!
This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!
We'll cover the following topics used by financial professionals:
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Not the best price we've seen. The lowest we've recorded is $16.99 on 3 Aug.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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