The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, 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.
Este curso faz parte do Programa de cursos integrados Investment Management with Python and Machine Learning
oferecido por
Programa de cursos integrados Investment Management with Python and Machine LearningEDHEC Business SchoolInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 24 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
O que você vai aprender
Gain an intuitive understanding for the underlying theory behind Modern Portfolio Construction Techniques
Write custom Python code to estimate risk and return parameters
Utilize powerful Python optimization libraries to build scientifically and systematically diversified portfolios
Build custom utilities in Python to test and compare portfolio strategies
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 24 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
EDHEC Business School
Founded in 1906, EDHEC is now one of Europe’s top 15 business schools .
Programa - O que você aprenderá com este curso
6 horas para concluir
Analysing returns
6 horas para concluir
14 vídeos (Total 225 mín.), 5 leituras, 1 teste
4 horas para concluir
An Introduction to Portfolio Optimization
4 horas para concluir
10 vídeos (Total 172 mín.), 1 leitura, 1 teste
5 horas para concluir
Beyond Diversification
5 horas para concluir
15 vídeos (Total 236 mín.), 4 leituras, 1 teste
9 horas para concluir
Introduction to Asset-Liability Management
9 horas para concluir
12 vídeos (Total 327 mín.), 5 leituras, 1 teste
Avaliações
Principais avaliações do INTRODUCTION TO PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
por SW5 de Ago de 2020
I am self taught in Python and have an industry background in Finance. This course was a good connector/provided additional insight on using Python to process portfolio performance and data analysis.
por MA29 de Nov de 2020
Awesome Course, Great instructors that give a nice balance of theory and practice, the practice is very hands-on and will help you understand the theory and give you useful tools from the first week.
por DH26 de Mai de 2020
Enjoyable course. One has to be conversant with basic Phyton to follow this course. What I learnt the most is the ability to use Phyton coding to demonstrate the concept of portfolio investment.
por AH2 de Fev de 2021
Exceptional quality of instruction. The production and detail of supporting materials made this class very accessible. I learned much more than expected. Bravo on the effort of the instructors!
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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