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Quant Trading Using Machine Learning

Free Certificates Included | CPD Accredited | Access for 365 days | No Hidden Fee


Next Learn Academy

Summary

Price
Save 88%
£22 inc VAT (was £199)
Offer ends 24 September 2021
Study method
Online, self-paced
Duration
11 hours
Access to content
365 days
Qualification
No formal qualification
CPD
11 CPD hours / points
Additional info
  • Exam(s) / assessment(s) is included in price
  • Certificate of completion available and is included in the price

1 student purchased this course

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Overview

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.

CPD

11 CPD hours / points
Accredited by The CPD Certification Service

Course media

Description

Course Curriculum

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.

Certification

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.

Access Duration

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.

Awarding Body

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.

Other Benefits

  • 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
  • Modellers
  • Big data professionals
  • Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach

Requirements

  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended

Questions and answers

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FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At reed.co.uk courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on reed.co.uk, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.