Python and Machine-Learning for Asset Management with Alternative Data Sets
A brief synopsis of this course includes hands-on lab sessions on Python data analysis and visualization, as well as alternative data principles and applications in finance.
Description for Python and Machine-Learning for Asset Management with Alternative Data Sets
Features of the Course:
Overview of Alternative Data: Comprehend the concept of alternative data and its growing utilization in financial market applications as an adjunct to conventional data.
Research and Implementation: Examine cutting-edge academic and industrial research on alternative data uses, along by practical portfolio examples to demonstrate real-world implementation.
Data Analysis and Visualization: Conduct data research on practical alternative datasets utilizing Python, acquiring expertise in data visualization and quantitative modeling in a financial framework.
Career-Oriented Learning: Optimal for individuals aspiring to become data scientists in financial markets or seeking to enhance their analytical competencies in finance using advanced data methodologies.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by EDHEC Business School
Duration: 3 weeks at 6 hours a week
Schedule: Flexible
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