About this Course

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Coursera Labs
Includes hands on learning projects.
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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 skills
  • Managing your own personal invetsments
  • Investment management knowledge
  • Computer Science
  • Expertise in data science
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
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

Week1
Week 1
4 hours to complete

Introducing the fundamentals of machine learning

4 hours to complete
9 videos (Total 102 min), 5 readings, 1 quiz
Week2
Week 2
3 hours to complete

Machine learning techniques for robust estimation of factor models

3 hours to complete
8 videos (Total 124 min), 1 reading, 1 quiz
Week3
Week 3
3 hours to complete

Machine learning techniques for efficient portfolio diversification

3 hours to complete
8 videos (Total 88 min), 3 readings, 1 quiz
Week4
Week 4
3 hours to complete

Machine learning techniques for regime analysis

3 hours to complete
7 videos (Total 112 min), 4 readings, 1 quiz

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About the Investment Management with Python and Machine Learning Specialization

Investment Management with Python and Machine Learning

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