Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a 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. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills.
Este curso forma parte de Programa especializado: Investment Management with Python and Machine Learning
Ofrecido Por


Acerca de este Curso
Python programming (beginners)
Investment theory (recommended)
Statistics (recommended)
Qué aprenderás
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 obtendrás
- Advanced vizualisation
- Basics of consuption-based alternative data
- Text mining methodologies
- Web-scritpting tools
Python programming (beginners)
Investment theory (recommended)
Statistics (recommended)
Ofrecido por
Programa - Qué aprenderás en este curso
Consumption
Textual Analysis for Financial Applications
Processing Corporate Filings
Using Media-Derived Data
Reseñas
- 5 stars60,90 %
- 4 stars26,36 %
- 3 stars8,18 %
- 2 stars3,18 %
- 1 star1,36 %
Principales reseñas sobre PYTHON AND MACHINE-LEARNING FOR ASSET MANAGEMENT WITH ALTERNATIVE DATA SETS
Very In-depth technical and informative. Very interesting to integrate data analysis with the current practice in investment management
Great course, combine state-of-the-art Python and machine learning, with the theory and practical test of investment management.
I enjoyed the course. Useful introductions, codes and real-world applications of the codes.
Good course with great practical content and insights into alternative data sets. I would have liked to see some more involved textual analysis techniques.
Acerca de Programa especializado: Investment Management with Python and Machine Learning

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