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Quick Facts

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

Course Overview

Machine learning is a new technological advancement that has been part of many organizations. It is a study of computer algorithms that can improve automatically through the use of data and experience. It is part of artificial intelligence which is a booming domain and is widely used by organizations. The Python and Machine Learning for Asset Management course is an initiative by the EDHEC Business School for learners who are interested in learning machine learning and python programming specifically for asset management.

Python and Machine Learning for Asset Management training is delivered by the experts on the online learning platform of Coursera. The duration of this online course is 5 weeks and the classes will be completed within the time frame of 18 hours. Candidates will be trained on machine learning approaches in investment management. The platform is providing multiple benefits and Python and Machine Learning for Asset Management certification by EDHEC Business School for the learners who opt for certification mode for this course.

The Highlights

5 weeks duration
Online course
18 hours of classes
Shareable certification
Self-paced learning
Quizzes
Graded assignments
Financial Aid

Programme Offerings

5 Weeks Duration
18 hours of classes
trained by experts
Online Course
Shareable Certification
Flexible Deadlines
Feedback
quizzes
assessments
financial aid

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The interested candidates who are opting for the certification mode can pay the fee through credit card, debit card, and internet banking. The students who have chosen the audit mode can start learning for free, but they shall not be given any benefits or certification. As per the time requirement by the candidate to complete the course, the portal has given a detailed fee structure which is mentioned below.

Python and Machine Learning for Asset Management fee structure

Description	Fee in INR
Course Fee, 1 Month	Rs. 3026
Course Fee, 3 Months	Rs. 6053
Course Fee, 6 Months	Rs. 9080

Eligibility Criteria

Certification Qualifying Details

Python and Machine Learning for Asset Management certification is given to all the candidates who have chosen the certification mode for this course. The candidates should complete the associated assignments, and quizzes to receive a shareable certification from EDHEC Business School. The certification will open gates of opportunities for the learner and shall inculcate the skills of machine learning and python programming proficiently.

What you will learn

Programming skillsData science knowledge

Python and Machine Learning for Asset Management certification syllabus is detailed and designed in a three-step learning process. The first step includes the introduction of a meaningful investment problem and then focuses on solving and addressing the problem using statistical techniques. The last or the final step solving it through machine learning and checking the relevance of the analysis. The learner will gain perfection in the following areas by the end of this online course.

Grasping the foundational knowledge of supervised and unsupervised machine learning techniques, especially for financial data sets.
In-depth understanding of the logistical regression and ML algorithms for the classification of variables into one of two outcomes.
Utilizing Python libraries for the implementation of machine learning algorithms in case studies.
In-depth understanding of the factor models and regime-switching models. Studying about their use in investment management.

Who it is for

Financial AdvisorPython ProgrammerMachine Learning Engineer

Python and Machine Learning for Asset Management certification benefits candidates who are stepping into the domain of machine learning for asset management. The course could be advantageous for the people working at the following designations.

Admission Details

To enroll yourself in the Python and Machine Learning for Asset Management online course, follow the steps mentioned below:

Step 1: Visit the portal of Coursera for the Python and Machine Learning for Asset Management course. The direct link for the course is https://www.coursera.org/learn/python-machine-learning-for-investment-management.

Step 2: The screen with the detailed introduction of the course shall be displayed on the portal of Coursera.

Step 3: Click on the tab “Enroll for free” and sign up for the course.

Step 4: Complete the enrollment process by paying the Python and Machine Learning for Asset Management certification fee if the candidate is opting for the certification course.

Step 5: Start learning by attending Python and Machine Learning for Asset Management classes.

The Syllabus

Videos

Welcome to the Python Machine-Learning for Investment management course
Introduction to machine-learning
Financial applications
Supervised learning
First algorithms
Highlights of best practice
Unsupervised learning
Challenges ahead
Lab session optimal portfolio

Readings

Requirements
Material at your disposal
Machine Learning for Investment Decisions: A Brief Guided Tour
References for module 1"Introducing the fundamentals of machine learning"
Lab session optimal portfolio

Practice Exercise

Module 1Graded Quiz

Videos

Introduction to module 2 - Basics of factor investing
Introducing Factor Models
Typology of factor models
Using factor models in portfolio construction and analysis
Penalty methods
Setting factor loadings and examples
Shrinkage concepts
Lab session - Jupiter notebook on Factor Models

Readings

References for module 2"Machine learning techniques for robust estimation of factor models"
Information on Jupyter notebook - Factor models

Practice Exercise

Module 2 Graded Quiz

Videos

Introduction to module 3 -Machine learning techniques for efficient portfolio diversification
Benefits of portfolio diversification
Portfolio diversification measures
Principle component analysis
Role of clustering
Graphical analysis
Selecting a portfolio of assets
Lab session: Graphical Network Analysis

Readings

Supplementary material PCA
References for the module "Machine learning techniques for efficient portfolio diversification"
Reference for the module "Selecting a portfolio of assets"
Lab session: Graphical Network Analysis

Practice Exercise

Module 3 Graded Quiz

Videos

Introduction to economic regimes
Portfolio Decisions with Time-Varying Market Conditions
Trend filtering
A scenario based portfolio model
A two regime portfolio example
A multi regime model for a University Endowment
Lab session- Jupyter notebook on regime-based investment model

Readings

Information on the "trend filtering" video
Information on "scenario based portfolio model" video
References for the module "Machine learning techniques for regime analysis"
Information on Jupyter notebook on regime-based investment model

Practice Exercise

Module 4 Graded Quiz

Videos

Introduction to module
Traditional approaches
Machine-Learning Processes
Several Machine Learning Methods
Predicting recessions
Challenges ahead
Lab session 5: Regime Prediction with Machine Learning

Readings

References for the module "Identifying recessions, crash regimes and features selection"
Information on Jupyter notebook on Forecasting recession with machine learning
To be continued (3)

Practice Exercise

Module 5 Graded Quiz

EDHEC Business School Frequently Asked Questions (FAQ's)

1: What is the duration of the Python and Machine Learning for Asset Management online course?

The duration of this online course is 5 weeks and the course can be completed in 18 hours.

2: Which institute is providing the Python and Machine Learning for Asset Management course?

The course is provided by EDHEC Business School on the Coursera platform.

3: What is the opted language for teaching and training for Python and Machine Learning for Asset Management course?

The course is in the English language and this online course has subtitles in Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, and Spanish.

4: In how many ways the interested candidate can enroll in the course?

Students can enroll through audit mode and certification mode, the former is the free learning mode but there will be no benefits and certification for students. All the benefits and a shareable certification will be given to the students who are opting for certification mode.