EDHEC Business School
Investment Management with Python and Machine Learning Specialization
EDHEC Business School

Investment Management with Python and Machine Learning Specialization

Taught in English

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Sean McOwen
Claudia Carrone
John Mulvey - Princeton University

Instructors: Sean McOwen

40,196 already enrolled

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Specialization - 4 course series

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4.5

(1,570 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Write custom Python code and use existing Python libraries to build and analyse efficient portfolio strategies.

  • Write custom Python code and use existing Python libraries to estimate risk and return parameters, and build better diversified portfolios.

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

  • Gain an understanding of advanced data analytics methodologies, and quantitative modelling applied to alternative data in investment decisions

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.5

(1,570 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 4 course series

What you'll learn

  • Gain an intuitive understanding for the underlying theory behind Modern Portfolio Construction Techniques

  • Write custom Python code to estimate risk and return parameters

  • Utilize powerful Python optimization libraries to build scientifically and systematically diversified portfolios

  • Build custom utilities in Python to test and compare portfolio strategies

Advanced Portfolio Construction and Analysis with Python

Course 212 hours4.7 (487 ratings)

What you'll learn

  • Analyze style and factor exposures of portfolios

  • Implement robust estimates for the covariance matrix

  • Implement Black-Litterman portfolio construction analysis

  • Implement a variety of robust portfolio construction models

Python and Machine Learning for Asset Management

Course 316 hours3.1 (318 ratings)

What you'll 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'll gain

Category: Computer Science
Category: Investment management knowledge
Category: Expertise in data science
Category: Programming skills
Category: Managing your own personal invetsments

What you'll learn

  • Learn what alternative data is and how it is used in financial market applications. 

  • Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.

  • Perform data analysis of real-world alternative datasets using Python.

  • Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance

Skills you'll gain

Category: Advanced vizualisation
Category: Basics of consuption-based alternative data
Category: Text mining methodologies
Category: Web-scritpting tools

Instructors

Sean McOwen
EDHEC Business School
1 Course14,401 learners

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