Python and Machine Learning for Asset Management

Colleagues, the Python and Machine Learning for Asset Management program equips you to  master machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. You will build practical skills to understand data science so you can make the best portfolio decisions. Begin with an introduction to the fundamentals of machine learning, followed by the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models.  They have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. You will have the opportunity to capitalize on videos and recommended readings to level up your financial expertise, and to use the quizzes and Jupiter notebooks to ensure grasp of concept. Gain high-demand skills in Programming, Managing your own personal investments, Investment management knowledge, Computer Science and Expertise in Data Science. Training modules include: 1) Introducing the fundamentals of machine learning, 2) Machine learning techniques for robust estimation of factor models, 3) Machine learning techniques for efficient portfolio diversification, and 4) Machine learning techniques for regime analysis.

Enroll today (individuals & teams welcome): https://tinyurl.com/8h6fj7kb 

Much career success, Lawrence E. Wilson - Financial Certification Academy