Python and Machine Learning for Asset Management
Investment Management with Python and Machine Learning,
This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. You will have the opportunity to capitalize on videos and recommended readings to level up your financial expertise, and to use the quizzes and Jupiter notebooks to ensure grasp of concept. At the end of this course, you will master the various machine learning techniques in investment management.
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Rating | 2.2★ based on 16 ratings |
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Length | 6 weeks |
Effort | 5 weeks - 2/3 hours per week |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | EDHEC Business School via Coursera |
Instructors | John Mulvey - Princeton University, Lionel Martellini, PhD, Claudia Carrone |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business |
Tags | Data Science Data Analysis Business Finance |
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What people are saying
machine learning
This course is clearly of lower quality than the previous two courses of the Investment Management with Python and Machine Learning Specialization.
But overall, I'm get a good example how to implement machine learning technique to finance perspective.
I learned about how can be used the machine learning in asset management, but to much theory and nothing practical.
First about me - I been deeply involved in data science, and machine learning and trade on the financial markets.
As other reviews have pointed out, academic research on regime filtering was pandered out as machine learning in finance.
For students with basic knowledge in machine learning and finance, this can help them improve a lot, especially helping them to combine these two things.
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first two courses
I missed the lab of the first two courses.
This is a completely useless course.The first two courses in this specialization were amazing.
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Rating | 2.2★ based on 16 ratings |
---|---|
Length | 6 weeks |
Effort | 5 weeks - 2/3 hours per week |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | EDHEC Business School via Coursera |
Instructors | John Mulvey - Princeton University, Lionel Martellini, PhD, Claudia Carrone |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business |
Tags | Data Science Data Analysis Business Finance |
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