Python for Financial Professionals (Advanced) - VIRTUAL CLASS

Python for Financial Professionals (Advanced) - VIRTUAL CLASS

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Agenda & Learning Objectives

Topics

  • Build and test financial market analyses to explore common tasks such as capital asset pricing, times series forecasting, multi-factor models and portfolio optimization
  • Gain experience in performing statistical analysis, linear regression, time series regression, and optimization by using popular data science packages such as statsmodels, SciPy, and scikit-learn
  • Learn to visualize data in Python

Learning Outcomes

  • Become proficient in using Python
  • Develop familiarity with using Python for data science
  • Gain confidence in turning data into investment insights
     

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