Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Machine Learning for Trading
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to 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. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies.
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Course by
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Self Paced
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الإنجليزية
Global Financing Solutions (by EDHEC and Société Générale)
The MOOC Global Financing Solutions is your online gateway to better understanding of the dynamics of Finance, and its role at the very heart of promoting the “real economy” and global growth. Concretely, you will learn how companies finance themselves using banks and capital markets and how Environmental, Social and Corporate Governance criteria are now deeply integrated in all financing processes. We will look at the role of syndication, and how it links issuers looking to raise capital to grow their businesses with investors looking to manage their assets and possibly liabilities.
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Course by
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Self Paced
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الإنجليزية
Advanced Topics in Derivative Pricing
This course discusses topics in derivative pricing. The first module is designed to understand the Black-Scholes model and utilize it to derive Greeks, which measures the sensitivity of option value to variables such as underlying asset price, volatility, and time to maturity. Greeks are important in risk management and hedging and often used to measure portfolio value change. Then we will analyze risk management of derivatives portfolios from two perspectives—Greeks approach and scenario analysis.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Introduction to Trading, Machine Learning & GCP
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to 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.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Using Machine Learning in Trading and Finance
This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.
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Course by
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Self Paced
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19 ساعات
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الإنجليزية
Advanced Interviewing Techniques
People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral, interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand. You will be able to: 1. Identify what the hiring organization is looking for in using behavioral interviewing techniques. 2. List the steps in the S.T.A.R.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Reinforcement Learning for Trading Strategies
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية