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學生對 北方高等商学院 提供的 Python and Machine-Learning for Asset Management with Alternative Data Sets 的評價和反饋

4.4
214 個評分

課程概述

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....

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AT

2020年3月5日

really interesting applications and good examples. More breadth than depth but a great guide as to what the state of the art is in applying machine learning to more alternative forms of data.

BB

2021年3月30日

Was pretty informative, especially getting to see and understand the techniques that large hedge funds might use to determine their investment strategies.

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51 - Python and Machine-Learning for Asset Management with Alternative Data Sets 的 56 個評論(共 56 個)

創建者 Steve B

2020年12月27日

Interesting course and good worked examples in the included Labs.

創建者 Elizabeth C W

2020年9月30日

enjoyed the lab sessions!

創建者 Morten F

2020年10月4日

Some items in Labs (Sentiment Analysis) were missing from course resources

創建者 Ravi T

2022年3月22日

It was alright. Programming lab work is the only thing useful.

創建者 Kenneth N

2022年7月14日

Excellent material. but labs requires more clarity

創建者 ruhiye k

2020年10月2日

terribly boring make!