30K People Enrolled to Increase Their Skills in Python & Machine Learning
Written on 29 Jun 2020.
Investment Management with Python and Machine Learning Specialisation
This highly innovative programme was designed by Professor Lionel Martellini, Director of EDHEC-Risk Institute, in collaboration with Professor John Mulvey of Princeton University, as well as asset-management experts and EDHEC research associates.
Data science is revolutionizing the asset-management industry, but financial professionals trained in machine learning are rare and very much sought after. Both students and financial-sector specialists need to be more than just aware of what these technological advancements will bring if they are to stay ahead of the game. That's why EDHEC-Risk Institute, recognized globally for its financial-sector research, launched a digital programme in September 2019, entitled Investment Management with Python and Machine Learning.
This programme consists of the following modules:
- Introduction to portfolio construction and analysis with Python
- Advanced portfolio construction and analysis with Python
- Python machine learning for investment management
- Python machine learning for investment management with alternative datasets
While the 4 courses can be taken independently, participants receive a Certificate of Specialization for completing all four, many of whom are proud to display theirs on LinkedIn!
The innovation behind this programme is the combination of 3 pillars: theory, application (with live demos of Python code), and research so as to help participants unlock the power of machine learning and data science technology in asset management.
The programme gives online learners a solid foundation in data science and the calculation methods used in the investment sector, with a focus on the latest advances in portfolio management. At the end of the four courses, participants have the tools they need to design and implement effective investment strategies, having expanded their knowledge of the theoretical concepts and studied numerous practical case studies based on real-world situations.
This very hands-on approach blending Python coding skills and their application in the world of finance is the reason for its success.
The figures back this up:
The design of the course is highly valued: 2 of the 5 instructors involved in this specialisation are referenced as Top Instructors by the Coursera community of learners.
What’s more, over 30,000 people have already registered for one of the 4 modules in the last 6 months.
The additional strength of online courses can be seen on a larger scale: MOOCs are not only an opportunity to master specific career skills; they also offer a chance to tap into a broad community of learners with a rich diversity of backgrounds and cultures.
But let’s give the last word to some of the testimonials of learners, all available on the Coursera platform.
“I like the way instructors explained difficult topic and digest it to simple way. The coding was also impressive.
Impressive online outreach of this asset management course. I highly recommend the content and instructors.
Very insightful. Learnt a lot of new things in finance which can’t be learnt in regular under graded programmes in Universities. Thank you to EDHEC-Risk Institute and Coursera….
See overview of the specialisation by cliking on the image
More details on our web page: https://risk.edhec.edu/investment-management-python-and-machine-learning
About EDHEC
Operating from campuses in Lille, Nice, Paris, London and Singapore, EDHEC is one of the world’s top 15 business schools. Fully international and directly connected to the business world, EDHEC commands a strong reputation for research excellence and the ability to train entrepreneurs and managers capable of breaking new ground. EDHEC functions as a genuine laboratory of ideas and produces innovative solutions valued by businesses. The School’s teaching is inspired by its research work and a focus on “learning by doing”, all with the aim of equipping people with the skills to succeed in business.
