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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.
Key facts
- 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.
Skills you'll gain
- Machine Learning
- Algorithms
- Finance
- Investment Management
- Applied Machine Learning
- Machine Learning Algorithms
- Risk Management
- Strategy
- Artificial Neural Networks
- Deep Learning
- Google Cloud Platform
- Human Learning
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
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Commerce Artificial Intelligence Machine Learning View 23 other Short Courses in Commerce in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score 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 Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
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.
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