Machine Learning – Quant Trading - CPD & iAP Accredited, # NUS Extra Card Eligible, Best Seller #

During this excellent Machine Learning – Quant Trading learners will focus on practically applying ML techniques to develop sophisticated Quant Trading models. This Quant Trading course will give you an introduction to machine learning, a subject which gives computers the ability to learn without being programmed. For those interested in Quant Trading, this course teaches you to apply machine learning to Quant Trading. Discover how to build sophisticated financial models that will better inform your investing decisions.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

We work in partnership with NUS, so all registered learners can get an NUS Extra discount card, which gives you amazing discounts on thousands of products from the biggest companies.

Why should you choose us?

• No Hidden Fee
• Free e-certificate (PDF)
• Free Career Support Service
• Free CV Writing and Interview Skills Pack available with this course.
• Get 2 days (48 hours) of free access to one of our 140 course strong course libraries, we will issue access upon your request when you have purchased a course.
• Nationally and internationally recognised Accredited qualification
• Excellent quality video tutorials
• You'll be eligible for an NUS Discount Card
• Get Tutor support Monday-Friday
• Get one year's access to the course
• Get support by phone, live chat, and email
• Join our friendly online learning platform
• Our Course is fully compatible with PC’s, Mac’s, Laptop, Tablet, and Smartphone devices. So, you can access your course on Wi-Fi, 3G or 4G.
• There is no time limit for completing this course, it can be studied in your own time at your own pace.
• All tests are online and are taken either during or after the course, these are included in the price.

What skills will I gain?

• Develop Quant Trading models using advanced Machine Learning techniques
• Compare and evaluate strategies using Sharpe Ratios
• Use techniques like Random Forests and K-Nearest Neighbours to develop Quant Trading models
• Use Gradient Boosted trees and tune them for high performance
• Use techniques like Feature engineering, parameter tuning and avoiding overfitting
• Build an end-to-end application from data collection and preparation to model selection

Course Curriculum

Following key topics are covered in this course;

Module 01: You, This Course & Us
Module 02: Developing Trading Strategies in Excel
Module 03: Setting up your Development Environment
Module 04: Setting up a Price Database
Module 05: Decision Trees, Ensemble Learning & Random Forests
Module 06: A Trading Strategy as Machine Learning Classification
Module 07: Feature Engineering
Module 08: Engineering a Complex Feature – A Categorical Variable with Past Trends
Module 09: Building a Machine Learning Classifier in Python
Module 10: Nearest Neighbors Classifier
Module 11: Gradient Boosted Trees
Module 12: Introduction to Quant Trading

Course Duration:

Learners will have 365 days access to their chosen course. The course is self-paced so you decide how fast or slow the training goes. If you need to extend your course access duration, it can be done at any time by extending your subscription.

Method of Assessment:

At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Certification:

Successful candidates will be awarded an CPD accredited certificate in “ Machine Learning – Quant Trading “. Anyone eligible for certification will receive FREE e-certificate(in PDF format), which is immediately available to download online. Printed certificate is available at an additional fee.

There is no experience or previous qualifications required for enrolment on this course. It is available to all students, of all academic backgrounds. However, it is recommended to have basic understanding of English language, literacy, numeracy and ICT skills.

• Quantitative Developer
• Software Developer
• Python Developer
• Quant Strategist
• Quant Analyst

Currently there are no Q&As for this course. Be the first to ask a question.