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.
Este curso faz parte do Programa de cursos integrados Investment Management with Python and Machine Learning
Informações sobre o curso
- 5 stars81,79%
- 4 stars13,13%
- 3 stars3,91%
- 2 stars0,69%
- 1 star0,46%
Principais avaliações do ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
An in depth explanation of factor models and alternative measures of portfolio diversity, with excellent explanations of the accompanying Python notebooks.
Very interesting course with a lot practice stuff. A very proficient mentors with strong theoretical background in finance and good Python skills.
very good quality, covers very in depth knowledge in portfolio construction, but I find the python part is a bit challenging unless you have good command of python programming.
Fantastic portfolio construction techniques, although black letterman model could have been explained better . Overall great course with real world financial applications
Sobre Programa de cursos integrados Investment Management with Python and Machine Learning
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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