Machine Learning for (Financial) Trading

Colleagues, this 3-course Machine Learning for (Financial) Trading Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. It can also be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies.. To successfully complete the exercises within the program, you should have advanced competency in Python programming and familiarity with pertinent libraries for Machine Learning, such as Scikit-Learn, StatsModels, and Pandas; a solid background in ML and statistics (including regression, classification, and basic statistical concepts) and basic knowledge of financial markets (equities, bonds, derivatives, market structure, and hedging). Acquire high-demand skills in Finance, Trading, Investment, Machine Learning applied to Finance, Algorithmic Trading, Python Programming, Machine Learning, Reinforcement Learning Model Development and  Reinforcement Learning Trading Algorithm Optimization-Trading Strategy Development-Trading Algo Development. The AppliedLearning Project  equips you to create and enhance quantitative trading strategies with machine learning that you can train, test, and implement in capital markets. Training modules cover: 1) Introduction to Trading, Machine Learning and Google Cloud Platform, 2) Using Machine Learning in Trading and Finance, and 3) Reinforcement Learning for Trading Strategies. 

Enroll today (individuals & teams welcome): https://tinyurl.com/4v2yrxdh 

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