Data Science for Energy Risk Managers & Trading Professionals

Data Science for Energy Risk Managers

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Data Science for Energy Risk Managers & Trading Professionals  

March 25-26, London

Book Now     Course Agenda

Machine learning and other forms of automation are transforming the way energy firms are analysing data to gain a competitive advantage.

Join us for this innovative and practical two day training course led by Nima Safaian, head of trading analytics at Cenovus Energy, which will provide a comprehensive introduction to data science for energy risk managers and trading professionals.

The course has been designed to be hands-on and interactive, participants will be given the opportunity to follow the course material and try out the examples in real time with guidance from the course tutor.
 

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What will you learn? 
  • Learn about real life data science examples for risk managers and trading analysts
  • An introduction to the data science R ecosystem
  • Creating and deploying interactive reports and apps using Shiny
  • Basics of machine learning for risk managers and more advanced concepts in deep learning and analytics using big datasets
  • Learn tidyverse and other data wrangling tools
  • Approaches to data visualisations and developing automated and interactive analytics
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Who should attend

Relevant departments may include but are not limited to:

  • Quantitative Analysis
  • Risk Management
  • Data Science
  • Compliance
  • Machine Learning
  • Trading Analysis
  • Energy
  • Oil
  • Gas

25 March 2020
2020-03-25 08:30:58 +0000