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.
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- 5 stars85.44%
- 4 stars12.69%
- 3 stars1.01%
- 2 stars0.42%
- 1 star0.42%
INTRODUCTION TO PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON의 최상위 리뷰
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.
Seriously an amazing course! I have got great learning of both financial concepts and python coding. instructors are super amazing. The approach is quite practical and useful.
Well taught and really like the mix between practical and theoretical lectures. Explain in simple language and starts off simple but gets progressively harder. Highly recommended.
Perfect Course to get started with the basics of Portfolio Construction. The python code with the guided lab sessions becomes easy and quick to grasp and the instructors are awesome!!
Investment Management with Python and Machine Learning 특화 과정 정보
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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