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Python and Machine-Learning for Asset Management with Alternative Data Sets(으)로 돌아가기

EDHEC Business School의 Python and Machine-Learning for Asset Management with Alternative Data Sets 학습자 리뷰 및 피드백

4.7
stars
12개의 평가
4개의 리뷰

강좌 소개

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills....

최상위 리뷰

필터링 기준:

Python and Machine-Learning for Asset Management with Alternative Data Sets의 4개 리뷰 중 1~4

교육 기관: Loc N

Jan 04, 2020

Way better than the third course in the Specialization. If I have to rank the courses in terms of the organization from high to low, the ranking would be: the first course, this course, the second course, and the final course.

교육 기관: Konstantinos R

Dec 01, 2019

Different from the other 3 courses but extremely interesting

교육 기관: Robert N

Dec 21, 2019

Interesting and very useful!

교육 기관: Andrea C

Jan 16, 2020

theory and lab not really synced. Lab not adding lots of value.