Data Analytics

Course Type: Training Course

This interactive lab-based course addresses the data revolution and its role in financial services. From electronic trading to prime brokerage to cryptocurrency, learning why data is critical in the AI era. Participants will work with data sets, perform analysis, and develop a story based on their conclusions.

Objectives

  • To develop fundamentals of data analytics as they relate to financial assets, portfolio management, and risk management

  • To develop a foundation of data pipelining, extraction, transformation, and loading

  • To develop knowledge and expertise of Big Data and its role in the industry

Content

  • The role and purpose of Data Analytics, Data Science, and Big Data

  • Developing insights: Descriptive, Diagnostic, Predictive, and Prescriptive

  • Working with data sets, integrating data, changing data, and developing management reports

  • Quantitative analytics and methods through financial data modeling

  • Blockchain, Cryptocurrencies, and Financial Assets