Machine Learning – Quant Trading

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Machine Learning – Quant Trading

1TRAINING
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Description

Course Description: 

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 eve…

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Course Description: 

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.

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

What are the requirements?

  • You must be 16 or over
  • You should have a basic understanding of English, Maths and ICT
  • You will need a computer or tablet with internet connection (or access to one)

Meet the Instructor:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

  • Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
  • Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
  • Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
  • Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum

Course outline:

  • 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

How will I be assessed?

  • You will have one assignment. Pass mark is 65%.
  • You will only need to pay £19 for assessment.
  • You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.

What Certification am I going to receive?

Those who successfully pass this course will be awarded a Machine Learning – Quant Trading certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.

What careers can I get with this qualification?

Once you have completed this Machine Learning – Quant Trading course you will have desirable skills. You could go on to further study of Quant Trading and machine learning, or could gain entry level employment in this area. These roles often command a high salary, for example, the average salary of a Quantitative Developer in the UK is £66,963 (payscale.com). When you complete this Machine Learning – Quant Trading, you could fulfil any of the following roles:

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

COURSE CURRICULUM

1: YOU, THIS COURSE & US

2: DEVELOPING TRADING STRATEGIES IN EXCEL

3: SETTING UP YOUR DEVELOPMENT ENVIRONMENT

4: SETTING UP A PRICE DATABASE

5: DECISION TREES, ENSEMBLE LEARNING & RANDOM FORESTS

6: A TRADING STRATEGY AS MACHINE LEARNING CLASSIFICATION

7: FEATURE ENGINEERING

8: ENGINEERING A COMPLEX FEATURE – A CATEGORICAL VARIABLE WITH PAST TRENDS

9: BUILDING A MACHINE LEARNING CLASSIFIER IN PYTHON

10: NEAREST NEIGHBORS CLASSIFIER

11: GRADIENT BOOSTED TREES

12: INTRODUCTION TO QUANT TRADING

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