Coupon & course info
Course Name: Quant Trading using Machine Learning
Subtitle: A completely practical approach to applying Machine Learning techniques to Quant Trading
Instructor: Taught by Loony Corn, A 4-person team;ex-Google; Stanford, IIM Ahmedabad, IIT
Category: Business
Subcategory: Data & Analytics
Provided by: Udemy
Price: $20 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of July 11, 2016…
Students: 270 students enrolled
Ratings: 27 reviews
Rank: ranked #143a in Udemy Business Courses
Brief course description
Prerequisites: Working knowledge of Python is necessary if you want to run the source code that is provided. Basic knowledge of machine learning, especially ML classification techniques, would be helpful but it’s not mandatory.
Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.
This course takes a completely practical approach to applying Machine Learning techniques to Quant Trading
(Read more about this course on the official course page.)
Loony Corn bio
Loonycorn is us, Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh. Between the four of us, we have studied at Stanford, IIM Ahmedabad, the IITs and have spent years (decades, actually) working in tech, in the Bay Area, New York, Singapore and Bangalore.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Languages: English
Skill level: All Levels
Lectures: 64 lessons
Duration: 11 hours of video
What you get: Develop Quant Trading models using advanced Machine Learning techniques
Target audience: Yep! Quant traders who have not used Machine learning techniques before to develop trading strategies
Requirements: Working knowledge of Python is necessary if you want to run the source code that is provided.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons