Python and Machine-Learning for Asset Management with Alternative Data Sets

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Python and Machine-Learning for Asset Management with Alternative Data Sets Perform data analysis of real-world alternative datasets using Python. Gain an understanding and hands-on experience in data analytics, visualization …

WHAT YOU WILL LEARN

  • 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

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.

SKILLS YOU WILL GAIN

Advanced vizualisationBasics of consuption-based alternative dataText mining methodologiesWeb-scritpting tools

Consumption-The consumption module introduces students to the basics of consumption-based alternative data. By aggregating online and offline consumer purchase activity and behavioral datasets including geolocation data (e.g., cell locations, satellite imagery etc.), transaction data (e.g., credit card transaction logs and point of sale data), as well as consumer interaction with brands and …

The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you …

Consumption-The consumption module introduces students to the basics of consumption-based alternative data. By aggregating online and offline consumer purchase activity and behavioral datasets including geolocation data (e.g., cell locations, satellite imagery etc.),

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