About this Specialization

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 13 hours/week

English

Subtitles: English

What you will learn

  • Check

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

  • Check

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

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

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

Skills you will gain

Risk ManagementPortfolio construction and analysisPython programming skillsImplementation of data science techniques in investment decisionsPortfolio Optimization

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 13 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Course 1

Introduction to Portfolio Construction and Analysis with Python

4.9
stars
162 ratings
49 reviews
Course2

Course 2

Advanced Portfolio Construction and Analysis with Python

4.7
stars
63 ratings
14 reviews
Course3

Course 3

Python and Machine Learning for Asset Management

3.4
stars
45 ratings
16 reviews
Course4

Course 4

Python and Machine-Learning for Asset Management with Alternative Data Sets

4.7
stars
21 ratings
7 reviews

Instructors

Image of instructor, Gideon OZIK

Gideon OZIK 

Founder and managing partner of MKT MediaStats
Data science and financial economics
Image of instructor, Sean McOwen

Sean McOwen 

Quantitative Analyst
Finance
Image of instructor, Vijay Vaidyanathan, PhD

Vijay Vaidyanathan, PhD 

Optimal Asset Management Inc.
CEO
Image of instructor, Lionel Martellini, PhD

Lionel Martellini, PhD 

EDHEC-Risk Institute, Director
Finance
Image of instructor, John Mulvey - Princeton University

John Mulvey - Princeton University 

Professor in the Operations Research and Financial Engineering Department and a founding member of the Bendheim Centre for Finance at Princeton University
Finance

About EDHEC Business School

Founded in 1906, EDHEC is now one of Europe’s top 15 business schools . Based in Lille, Nice, Paris, London and Singapore, and counting over 90 nationalities on its campuses, EDHEC is a fully international school directly connected to the business world. With over 40,000 graduates in 120 countries, it trains committed managers capable of dealing with the challenges of a fast-evolving world. Harnessing its core values of excellence, innovation and entrepreneurial spirit, EDHEC has developed a strategic model founded on research of true practical use to society, businesses and students, and which is particularly evident in the work of EDHEC-Risk Institute and Scientific Beta. The School functions as a genuine laboratory of ideas and plays a pioneering role in the field of digital education via EDHEC Online, the first fully online degree-level training platform. These various components make EDHEC a centre of knowledge, experience and diversity, geared to preparing new generations of managers to excel in a world subject to transformational change. EDHEC in figures: 8,600 students in academic education, 19 degree programmes ranging from bachelor to PhD level, 184 professors and researchers, 11 specialist research centres. ...

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Approximately 4 months to complete

  • This digital Specialization program is meant to be self-contained and no prior knowledge or Python or portfolio analysis is assumed or required. On the other hand, learners are expected to show a good dose of enthusiasm for, and interest in, the subject of data science applied to investment management.

  • We encourage you to complete the whole series, starting with “Introduction to portfolio construction and analysis with Python” and “Advanced portfolio construction and analysis with Python”, before taking the “Python Machine-learning for investment management” course. Then,  you will be able to put  final touch on your understanding of how new data science techniques can be used in investment decisions by taking the course “Python machine-learning for investment management with alternative data sets”.

  • Upon completing the Specialization, learners will be able to build their own custom Python code and use existing Python libraries to optimize portfolios and implement sophisticated risk measurement and risk management techniques. They will also be able to use powerful machine learning techniques applied to traditional or alternative data sets to implement improvement investment decisions.

More questions? Visit the Learner Help Center.