3 months
Duration
Free
Free
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Tuition fee
Anytime
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Apply date
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Start date

About

This 3-course Machine Learning for Trading Specialization offered by Coursera in partnership with New York Institute of Finance is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management.

Visit the official programme website for more information

Overview

Alternatively, this Machine Learning for Trading Specialization offered by Coursera in partnership with New York Institute of Finance can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves.

 As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading.  This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level. 

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). Experience with SQL is recommended.

Applied Learning Project

The three courses will show you how to create various quantitative and algorithmic trading strategies using Python. By the end of the specialization, you will be able to create and enhance quantitative trading strategies with machine learning that you can train, test, and implement in capital markets. You will also learn how to use deep learning and reinforcement learning strategies to create algorithms that can update and train themselves.

Programme Structure

Courses include:

  • Trading, Machine Learning & GCP
  • Using Machine Learning in Trading and Finance
  • Reinforcement Learning for Trading Strategies

Key information

Duration

  • Part-time
    • 3 months
    • 4 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Machine Learning for Trading
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Coursera

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