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Вернуться к Introduction to Portfolio Construction and Analysis with Python

Отзывы учащихся о курсе Introduction to Portfolio Construction and Analysis with Python от партнера Школа бизнеса EDHEC

Оценки: 1,199

О курсе

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. This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way. We'll start with the very basics of risk and return and quickly progress to cover a range of topics including several Nobel Prize winning concepts. We'll cover some of the most popular practical techniques in modern, state of the art investment management and portfolio construction. As we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods....

Лучшие рецензии


29 нояб. 2020 г.

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.


5 авг. 2020 г.

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.

Фильтр по:

226–250 из 341 отзывов о курсе Introduction to Portfolio Construction and Analysis with Python

автор: Naresh K E

14 нояб. 2020 г.

Excellent blend of concepts and hands-on tutorials.

автор: Apurva

7 дек. 2019 г.

Very well designed and detailed -- rarity for MOOCs

автор: Vinay K P M

9 окт. 2020 г.

Great insights and a wonderful learning experience

автор: Leonardo S

14 июля 2020 г.

Excellent course, great lectures and perfect labs!

автор: Gurjot S

2 янв. 2022 г.

Great course. So much work put in my Prof. Vijay!

автор: Enrique R D

15 мар. 2020 г.

Excelent material... lab session are pretty good!

автор: Sangwoo K

17 дек. 2020 г.

Lab session is very well organized and practical

автор: Clement G

14 апр. 2020 г.

Super Class, super teacher, pretty good codes GG

автор: ZHANG Z

10 апр. 2020 г.

good course about python and portfolio knowledge

автор: Parthasarathy S

4 мая 2020 г.

Excellent instructors. Awesome course contents.

автор: Andrea Z

10 февр. 2021 г.

Fantastic and Usefull Course. Great Professors

автор: Sarah Q

1 мая 2020 г.

The best course I have ever taken on Coursera.

автор: Purin L

24 апр. 2021 г.

Nice instructors. You can learn step-by-step.

автор: praburam u

3 окт. 2020 г.

The course content and teaching is very good

автор: Steve B

5 февр. 2021 г.

Excellent combination of theory and coding.

автор: Fung H K

6 сент. 2020 г.

very practical exercise with python library

автор: Min L

10 мая 2020 г.

Great lab session which is really detailed.

автор: Konstantinos R

2 нояб. 2019 г.

Very insightful, coherent and elaborative.

автор: Egkachai A

2 нояб. 2019 г.

Best MOOC about Investment Management ever

автор: RENATO V M S

5 июня 2021 г.

Extraordinary Course and Professors !!!!

автор: Rui Z

27 июня 2020 г.

Best combination of theory and practice.

автор: Jixin D

16 нояб. 2020 г.

Excellent and I will high recommend it!

автор: Nikolay N

13 февр. 2020 г.

A great course to learn, very helpful!

автор: Martin A

15 авг. 2020 г.

the last week session 2 is quite hard

автор: Hp F

8 июня 2020 г.

Great course, didactically excellent!