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The course begins with foundational Python skills, then quickly advances into specialized libraries such as NumPy, pandas, matplotlib, statsmodels, and more, all within the context of finance. You will learn how to analyze stock returns, visualize data, perform time series analysis, and optimize investment portfolios using techniques like the Efficient Frontier and Markowitz optimization. Furthermore, the course covers essential financial concepts such as the Capital Asset Pricing Model (CAPM), market efficiency hypothesis, and the use of ARIMA models for forecasting.
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Enroll Course: https://www.udemy.com/course/python-fur-finanzanalysen-und-algorithmisches-trading/