About this Specialization
No prior experience required.
No prior experience required.
John Mulvey - Princeton UniversityProfessor in the Operations Research and Financial Engineering Department and a founding member of the Bendheim Centre for Finance at Princeton University
EDHEC Business School
Founded in 1906, EDHEC is now one of Europe’s top 15 business schools .
Frequently Asked Questions
What is the refund policy?
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Can I just enroll in a single course?
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
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.
Will I earn university credit for completing the Specialization?
How long does it take to complete the Specialization?
Approximately 4 months to complete
What background knowledge is necessary?
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.
Do I need to take the courses in a specific order?
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”.
What will I be able to do upon completing the Specialization?
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.