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Quant Trading Using Machine Learning
In recent years, machine learning, more specifically machine learning in Python has become the buzz-word for many quant firms. In their quest to seek the elusive alpha, a number of funds and trading firms have adopted to machine learning. Modern quantitative trading research relies on extensive statistical learning techniques. Machine learning has transformed the world of trading.
In recent years, the number of machine learning packages has increased substantially which has helped the developer community in accessing various machine learning techniques and applying the same to their trading needs.
Up until relatively recently, the only place to learn such techniques as applied to quantitative finance was in the literature. Thankfully well-established courses now exist which bridge the gap between theory and practice. Qualifying in this course will give you a competitive edge in the industry, and make you a marketable candidate.
Why You Should Learn at Next Learn Academy?
Online learning is flexible, convenient and gives you the opportunity to balance life's other commitments with higher education. Next Learn Academy offers an extensive range of online courses with a variety of rich material and resources that will let you connect to peers and expert tutors and build on your skills and knowledge. Next Learn Academy is a reliable online provider with a strong reputation and its meticulously designed courses to help you kick-start your professional journey in the best possible way.
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
Method of Assessment
To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.
You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.
Upon the successful completion of the course, you will be awarded the ‘Certificate in Quant Trading Using Machine Learning- Level 2’ certificate by CPD. You will receive a FREE E-certificate in PDF format and a Printed certificate upon completing the course.
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.
- High-quality e-learning study materials.
- Tutorials/materials from industry-leading experts.
- 24/7 Access to the Learning Portal.
- Recognised Accredited Certification
Who is this course for?
- Analytics professionals
- Quant traders
- Big data professionals
- Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach
- Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
- A sound educational background is recommended
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