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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques.

In the online programme on Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions.

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of- Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

The Highlights

100% online programme
Shareable certificate
Deadlines flexible
Course level intermediate
Programme by Coursera
Course offered by New York Institute of Finance and Google cloud
18 hours total course duration
Subtitles in English

Programme Offerings

Online Course
video lectures
Practice Sets
assignments
quizzes
case study

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Using Machine Learning in Trading and Finance fees details

Particulars	Amount in INR
Using Machine Learning in Trading and Finance (audit only)	Free
Using Machine Learning in Trading and Finance - 1 month	Rs. 4,074/-
Using Machine Learning in Trading and Finance - 3 months	Rs. 8,149/-
Using Machine Learning in Trading and Finance - 6 months	Rs. 12,224/-

Eligibility Criteria

Work Experience

The candidates must have a working knowledge of SQL to apply and enrol for this programme.

Education

To apply for the Using Machine Learning in Trading and Finance certification course, the students need to have advanced competency in the domain of Python programming and familiarity with pertinent libraries for machine learning - StatsModels, Pandas and Scikit-Learn. The student also needs to have a background in statistics (linear regressions, probability, higher moments, Gaussian distributions, standard deviation, expected values) and financial markets( hedging, market structure, derivatives, bonds, equities).

Certification Qualification Details

Students will be getting the Using Machine Learning in Trading and Finance certification after they successfully complete the course in the stipulated time frame. They are also required to make a fee payment to pursue the programme once the 7 days free trial period ends.

What you will learn

Machine learning

The Using Machine Learning in Trading and Finance programme will give detailed insight about the following elements to the students:

The candidates will get a detailed understanding of the subject of Tensorflow.
The topic of the TensorFlow API hierarchy will be studied by the students in the course.
Applicants will be studying the process of Working in memory and its application.
The Using Machine Learning in Trading and Finance certification syllabus includes the chapter on activation functions
The process of Picking pairs with clustering is also included in the course.
The detailed dynamics and process of Google Cloud will be taught to the candidates.
The Components of TensorFlow tensors will be taught to the students.
Applicants will be taught about neural methods of programming.
Learners will study Keras functional AP
The process of collecting data is also included in the programme module.

Who it is for

Database Architect

The Using Machine Learning in Trading and Finance programme is for the following students-

Candidates who want to study Kalman filters can apply for the course directly.

Application Details

To apply for the Using Machine Learning in Trading and Finance online programme the students have to follow the given steps-

Step 1: The students have to visit the following website- https://www.coursera.org/learn/machine-learning-trading-finance

Step 2: The students have to click on the “enrol” button.

Step 3: The students then fill in the credentials that are mentioned in the form.

Step 4: The course fee needs to be deposited for accessing the course materials.

The Syllabus

Videos

Introduction to Course
Basic Trading Strategy Entries and Exits Endogenous Exogenous
Basic Trading Strategy Building a Trading Model
Advanced Concepts in Trading Strategies

Reading

Welcome to Using Machine Learning in Trading and Finance

Quiz

Understand Quantitative Strategies

Videos

Overview
Introduction to TensorFlow
TensorFlow API Hierarchy
Components of TensorFlow Tensors and Variables
Getting Started with Google Cloud Platform and Qwiklabs
Lab Intro Writing low-level TensorFlow programs
Working in-memory and with files
Training on Large Datasets with tf.data API
Getting the data ready for model training
Embeddings
Lab Intro Manipulating data with TensorFlow Dataset API

App items

Lab: Writing low-level TensorFlow Programs
Lab: Manipulating data with TensorFlow Dataset API

Videos

Overview
Activation functions
Activation functions: Pitfalls to avoid in Backpropagation
Neural Networks with Keras Sequential API
Serving models in the cloud
Lab Intro : Keras Sequential API
Neural Networks with Keras Functional API
Regularization: The Basics
Regularization: L1, L2, and Early Stopping
Regularization: Dropout
Lab Intro: Keras Functional API
Recap

App items

Lab: Introducing the Keras Sequential API
Lab: Introducing the Keras Functional API

Videos

Introduction to Momentum Trading
Introduction to Hurst
Building a Momentum Trading Model
Define the Problem
Collect the Data
Creating Features
Split the Data
Selecting a Machine Learning Algorithm
Backtest on Unseen Data
Understanding the Code: Simple ML Strategies to Generate Trading Signal
Lab Intro: Momentum Trading
Momentum Trading Lab Solution

Reading

Hurst Exponent and Trading Signals Derived from Market Time Series

App items

Lab: Momentum Strategies
Optional Lab: Improve Momentum Trading strategies using Hurst

Discussion Prompt

Compare interpretability versus explanatory power of the momentum factor

Videos

Introduction to pair trading
Picking pairs
Picking pairs with clustering
How to implement a pair trading strategy
Evaluate results of a pair trade
Backtesting and avoiding overfitting
Next steps: improvements to your pair strategy
Lab intro: pairs trading
Lab solution: pairs trading
Kalman filter introduction
Kalman filter trading applications

Quiz

Pairs Trading Strategy concepts

App items

Lab: Pairs Trading Strategy
Optional Lab: Estimate parameters using Kalman Filters

Instructors

New York Institute of Finance, New York Frequently Asked Questions (FAQ's)

1: Is financial aid available in the programme?

Yes, in the course of Using Machine Learning in Trading and Finance training the students will be provided with scholarship aids.

2: What is the registration fee?

The programme does not have any mandated registration fee. The registration for the course is free.

3: Are subtitles available in the course?

Yes, for the ease of the students understanding, the course has the provision of English subtitles.

4: Is there course eligibility?

No, for the Using Machine Learning in Trading and Finance certification there is no specified eligibility.

5: When will the accessibility to the course materials be given?

The students will get to access the course guides once they enrol for the Using Machine Learning in Trading and Finance programme.

6: How to apply for the course?

For applying for the course, the following link has to be visited- https://www.coursera.org/learn/machine-learning-trading-finance

7: Can the certificate be shared across all platforms?

Yes, the Using Machine Learning in Trading and Finance online course is having a shareable certificate.

8: Is a free trial offered?

Yes, for a period of 7 days, the students will get to access the free trial.

9: Can the students select their own schedule?

Yes, the Using Machine Learning in Trading and Finance certification benefits the students by allowing them to access the course in the self-paced learning mode.