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다음 전문 분야의 4개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

Python programming (beginners)

Investment theory (recommended

Statistics (recommended)

완료하는 데 약 11시간 필요

권장: 4 weeks of study, 2 hours per week...

영어

자막: 영어

배울 내용

  • Check

    Learn what alternative data is and how it is used in financial market applications. 

  • Check

    Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.

  • Check

    Perform data analysis of real-world alternative datasets using Python.

  • Check

    Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance

다음 전문 분야의 4개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

Python programming (beginners)

Investment theory (recommended

Statistics (recommended)

완료하는 데 약 11시간 필요

권장: 4 weeks of study, 2 hours per week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

Consumption

10개 동영상 (총 74분), 2 readings, 1 quiz
10개의 동영상
What is consumption data?8m
Geolocation and foot-traffic5m
Lab session: Introduction to the Uber Dataset6m
Lab session: Points of Interest5m
Lab session: Mapping Data with Folium9m
Lab session: Testing Seasonality11m
Application: Consumption data and earning surprises7m
Application:Consumption-based proxies for private information and managers behavior7m
Application: Additional applications of consumption data7m
2개의 읽기 자료
Material at your disposal5m
Module1 - Key points5m
1개 연습문제
Module 1 Graded Quiz30m
2
완료하는 데 2시간 필요

Textual Analysis for Financial Applications

7개 동영상 (총 70분), 2 readings, 1 quiz
7개의 동영상
Processing text into vectors12m
Normalizing textual data5m
Lab session: Introduction to Webscraping11m
Lab session: Applied Text Data Processing11m
Lab session: Company Distances and Industry Distances15m
Application: applying similarity analysis on corporate filings to predict returns9m
2개의 읽기 자료
Module 2 - Key points5m
Additional resources1h
1개 연습문제
Module 2 - Graded Quiz
3
완료하는 데 3시간 필요

Processing Corporate Filings

8개 동영상 (총 70분), 3 readings, 1 quiz
8개의 동영상
Lab session: Working with 10-K Data7m
Lab session: Applications of TF-IDF11m
Lab session: Risk Analysis9m
Lab session: Working with 13-F Data10m
Lab session: Comparing Holding Similarities11m
Application: network centrality, competition links and stock returns9m
Application: Using location data to measure home bias to predict returns4m
3개의 읽기 자료
Module 3 - Key points5m
Additional resources30m
Additional resources1시 15분
1개 연습문제
Module 3 - Graded Quiz
4
완료하는 데 5시간 필요

Using Media-Derived Data

7개 동영상 (총 62분), 4 readings, 1 quiz
7개의 동영상
Sentiment Analysis6m
Lab session: Twitter Dataset Introduction10m
Lab session: Network Visualization4m
Lab session: Replicating PageRank12m
Lab session: Applied Sentiment Analysis7m
Application: Prediction of financial market variables with media10m
4개의 읽기 자료
Module 4 - Key points5m
Additional resources1h
Additional resources1시 15분
Additional resources2h
1개 연습문제
Module 4 - Graded Quiz

강사

Avatar

Gideon OZIK

Founder and managing partner of MKT MediaStats
Data science and financial economics
Avatar

Sean McOwen

Quantitative Analyst
Finance

EDHEC Business School 정보

Founded in 1906, EDHEC is now one of Europe’s top 15 business schools . Based in Lille, Nice, Paris, London and Singapore, and counting over 90 nationalities on its campuses, EDHEC is a fully international school directly connected to the business world. With over 40,000 graduates in 120 countries, it trains committed managers capable of dealing with the challenges of a fast-evolving world. Harnessing its core values of excellence, innovation and entrepreneurial spirit, EDHEC has developed a strategic model founded on research of true practical use to society, businesses and students, and which is particularly evident in the work of EDHEC-Risk Institute and Scientific Beta. The School functions as a genuine laboratory of ideas and plays a pioneering role in the field of digital education via EDHEC Online, the first fully online degree-level training platform. These various components make EDHEC a centre of knowledge, experience and diversity, geared to preparing new generations of managers to excel in a world subject to transformational change. EDHEC in figures: 8,600 students in academic education, 19 degree programmes ranging from bachelor to PhD level, 184 professors and researchers, 11 specialist research centres. ...

Investment Management with Python and Machine Learning 전문 분야 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....
Investment Management with Python and Machine Learning

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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