Python and Machine-Learning for Asset Management with Alternative Data sets
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assignment Level : Intermediate
chat_bubble_outline Language : English
language Subtitles : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 5 hours in total

About the content

Over-utilization of market and accounting data over the last few decades has lead to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as 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. As a result, participants will learn new data and research techniques applied to the financial markets while strengthening data science and python skills. This course covers a broad array of alternative data types including consumption based datasets, corporate filings, social media, and various datasets scraped directly from the web. The course teaches tools such as analytics, text mining, sentiment analysis, and data visualization required to process the data in order to gain insight for financial market applications.

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Prerequisite

  • Python programming (beginners)
  • Investment theory (recommended)
  • Statistics (recommended)

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Syllabus

WHAT YOU WILL LEARN

  1. Learn what alternative data is and how it is used in financial market applications. 
  2. Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.
  3. Perform data analysis of real-world alternative datasets using Python.
  4. Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance
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Content Designer

EDHEC

Implantée à Lille, Nice, Paris, Londres et Singapour, l'EDHEC est l'une des 15 meilleures écoles de commerce d'Europe. Résolument internationale et directement connectée au monde des affaires, elle est reconnue pour l'excellence de sa recherche et sa capacité à former des entrepreneurs et des managers capables de faire bouger les lignes.
Véritable laboratoire d'idées, elle produit des solutions innovantes reconnues par les entreprises. Ses travaux de recherche irriguent son enseignement fondé sur la culture du  «build people to build business» et du « learning by doing ».

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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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