Introduction to Trading, Machine Learning & Google Cloud Platform

Colleagues, in the Introduction to Trading, Machine Learning & GCP program from Google Cloud and the New York Institute of Finance you will learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. Identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Acquire skills in Finance, Trading, Investment and Machine Learning applied to Finance. Skill-based training modules include: 1) Introduction to Trading with Machine Learning on Google Cloud, 2) Supervised Learning with BigQuery ML, 3) Time Series and ARIMA Modeling, and 4) Introduction to Neural Networks and Deep Learning. 

Sign-up today (teams & execs welcome): https://tinyurl.com/2p9asnn8 

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