The practice of investment management has been transformed in recent years by computational methods. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. In this course, we cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.
Об этом курсе
- 5 stars82,02 %
- 4 stars13,03 %
- 3 stars3,82 %
- 2 stars0,67 %
- 1 star0,44 %
Лучшие отзывы о курсе ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
Courses are an exceptional introduction to these statistical methods and how to code them yourself. Great way to get your feet wet.
Another excellent course. One thing I would have liked to have is longer lab session videos like in MOOC 1 to ensure we can re-create the notebooks as we go along.
Fantastic portfolio construction techniques, although black letterman model could have been explained better . Overall great course with real world financial applications
Very good course and well taught. Vijay and Lionel are great communicators. I have enjoyed the course a lot and learned a great deal. Thank you both.
Специализация Investment Management with Python and Machine Learning: общие сведения
The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.
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