Python and Machine Learning for Asset Management

Python and Machine Learning for Asset Management

Course
en
English
14 h
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

WHAT YOU WILL LEARN

  1. Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
  2. Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes
  3. Utilize powerful Python libraries to implement machine learning algorithms in case studies
  4. Learn about factor models and regime switching models and their use in investment management

Prerequisite

Learners taking this Course are

  • Financial Analysts
  • Data Scientists
  • Consultants
  • Data Analysts
  • Engineers

Instructors

John Mulvey - Princeton University
Professor in the Operations Research and Financial Engineering Department and a founding member of the Bendheim Centre for Finance at Princeton University
Finance

Lionel Martellini, PhD
EDHEC-Risk Institute, Director
Finance

Editor

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 ».

Platform

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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