Informações sobre o curso
7,241 visualizações recentes

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

Aprox. 11 horas para completar

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

Inglês

Legendas: Inglês

O que você vai aprender

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

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

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

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

Habilidades que você terá

Advanced vizualisationBasics of consuption-based alternative dataText mining methodologiesWeb-scritpting tools

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

Aprox. 11 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
4 horas para concluir

Consumption

10 vídeos (Total 74 mín.), 3 leituras, 1 teste
10 videos
What is consumption data?8min
Geolocation and foot-traffic5min
Lab session: Introduction to the Uber Dataset6min
Lab session: Points of Interest5min
Lab session: Mapping Data with Folium9min
Lab session: Testing Seasonality11min
Application: Consumption data and earning surprises7min
Application:Consumption-based proxies for private information and managers behavior7min
Application: Additional applications of consumption data7min
3 leituras
Material at your disposal5min
Additional resources on the interest of real-time corporate sales'measures1h
Additional resources on Predicting Performance using Consumer Big Data1h
1 exercício prático
Graded Quiz on Consumption30min
Semana
2
2 horas para concluir

Textual Analysis for Financial Applications

8 vídeos (Total 75 mín.), 1 leitura, 1 teste
8 videos
Introduction to textual analysis3min
Processing text into vectors12min
Normalizing textual data5min
Lab session: Introduction to Webscraping11min
Lab session: Applied Text Data Processing11min
Lab session: Company Distances and Industry Distances15min
Application: applying similarity analysis on corporate filings to predict returns9min
1 leituras
Additional resources on textual analysis for financial applications1h
1 exercício prático
Graded Quiz on Textual Analysis for Financial Applications
Semana
3
3 horas para concluir

Processing Corporate Filings

8 vídeos (Total 69 mín.), 2 leituras, 1 teste
8 videos
Lab session: Working with 10-K Data7min
Lab session: Applications of TF-IDF11min
Lab session: Risk Analysis9min
Lab session: Working with 13-F Data10min
Lab session: Comparing Holding Similarities11min
Application: network centrality, competition links and stock returns8min
Application: Using location data to measure home bias to predict returns4min
2 leituras
Additional resources30min
Additional resources on processing corporate fillings1h 15min
1 exercício prático
Graded Quiz on Processing Corporate Filings
Semana
4
6 horas para concluir

Using Media-Derived Data

7 vídeos (Total 62 mín.), 3 leituras, 1 teste
7 videos
Sentiment Analysis6min
Lab session: Twitter Dataset Introduction10min
Lab session: Network Visualization4min
Lab session: Replicating PageRank12min
Lab session: Applied Sentiment Analysis7min
Application: Using media to predict financial market variables10min
3 leituras
Additional resources1h
Additional resources1h 15min
Additional resources on using media derived-data2h 30min
1 exercício prático
Graded Quiz on Using Media-Derived Data

Instrutores

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Gideon OZIK

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

Sean McOwen

Quantitative Analyst
Finance

Sobre EDHEC Business School

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. ...

Sobre Programa de cursos integrados Investment Management with Python and Machine Learning

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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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