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Machine Learning for Trading Specialization

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Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

This 3-course specialization offered by Google Cloud and New York Institute of Finance for finance professionals, including portfolio managers, analysts, day traders, and hedge fund traders. This course also contains information on how to use Machine Learning and Python to create profitable trading strategies. For Machine Learning professionals who are interested in using their skills to create quantitative trading strategies, this program is also available. This Specialization will show you how to use Google Cloud's capabilities for deep learning and reinforcement modeling. This will enable you to develop and train self-upgradable trading strategies. Reinforcement learning will be used in trading cases. This program is designed for students at intermediate level who are familiar with the basics of Machine Learning. A good understanding of Python programming is required, along with familiarity with relevant libraries such as Scikit-Learn or StatsModels. SQL knowledge is highly recommended.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Describe the methods used to optimize an ML-driven trading strategy

Describe the steps required to develop and test an ML-driven trading strategy

Use Keras and Tensorflow to build machine learning models

Understand the structure and techniques used in machine learning, deep learning, and reinforcement learning (RL) strategies

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