Data Science for Energy Risk Managers & Trading Professionals 2018 covers topics such as:
- Real life data science examples for risk managers and trading analyst
- Introduction to the data science R ecosystem
- Creating and deploying interactive reports and apps using Shiny
- Exploratory and explanatory visualization for risk managers
- Advance concepts in Deep Learning and Analytics using big datasets
- Basics of Machine Learning for risk managers
- R/Shiny open source echo system and RStudio IDE
Data Science for Energy Risk Managers & Trading Professionals 2018 brings together attendees from:
- Quantitative Analysis
- Risk Management
- Compliance
- Trading Analysis
- Energy
- Traders
- Gas
- Oil
- creating
Data Science for Energy Risk Managers & Trading Professionals 2018 brings together attendees involved or interested in Open to all
