About this Course

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Intermediate Level
Approx. 16 hours to complete
English

What you will learn

  • Learn the principles of supervised and unsupervised machine learning techniques to financial data sets

  • Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes

  • Utilize powerful Python libraries to implement machine learning algorithms in case studies

  • Learn about factor models and regime switching models and their use in investment management

Skills you will gain

Programming skillsManaging your own personal invetsmentsInvestment management knowledgeComputer ScienceExpertise in data science
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 16 hours to complete
English

Offered by

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EDHEC Business School

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introducing the fundamentals of machine learning

2 hours to complete
8 videos (Total 61 min), 4 readings, 1 quiz
Week
2

Week 2

4 hours to complete

Machine learning techniques for robust estimation of factor models

4 hours to complete
8 videos (Total 80 min), 2 readings, 1 quiz
Week
3

Week 3

3 hours to complete

Machine learning techniques for efficient portfolio diversification

3 hours to complete
8 videos (Total 88 min), 2 readings, 1 quiz
Week
4

Week 4

3 hours to complete

Machine learning techniques for regime analysis

3 hours to complete
7 videos (Total 65 min), 4 readings, 1 quiz

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