Informações sobre o curso

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Certificados compartilháveis
Tenha o certificado após a conclusão
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. 19 horas para completar
Inglês

O que você vai aprender

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

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

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

  • 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
Certificados compartilháveis
Tenha o certificado após a conclusão
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. 19 horas para completar
Inglês

oferecido por

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EDHEC Business School

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

5 horas para concluir

Consumption

5 horas para concluir
10 vídeos (Total 74 mín.), 5 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
5 leituras
Material at your disposal5min
Note about HeatMapWithTime2min
Extra materials on consumption1h
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

Semana 2

4 horas para concluir

Textual Analysis for Financial Applications

4 horas para concluir
8 vídeos (Total 75 mín.), 2 leituras, 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
2 leituras
Extra materials on Textual Analysis for Financial Applications1h 10min
Additional resources on textual analysis for financial applications1h
1 exercício prático
Graded Quiz on Textual Analysis for Financial Applications
Semana
3

Semana 3

4 horas para concluir

Processing Corporate Filings

4 horas para concluir
8 vídeos (Total 69 mín.), 4 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
4 leituras
Instructor's announcement2min
Extra materials on Processing Corporate Filings30min
Additional resources30min
Additional resources on processing corporate fillings1h 15min
1 exercício prático
Graded Quiz on Processing Corporate Filings
Semana
4

Semana 4

7 horas para concluir

Using Media-Derived Data

7 horas para concluir
7 vídeos (Total 62 mín.), 5 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
5 leituras
Additional resources1h
Additional resources1h 15min
Extra materials on Using Media-Derived Data1h 10min
Additional resources on using media derived-data2h 30min
Data recap10min
1 exercício prático
Graded Quiz on Using Media-Derived Data

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

Investment Management with Python and Machine Learning

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