Courses
Who are RPanda training courses designed for? Students and professionals who want to learn relevant business analytics skills to help them succeed in the digital world. Our courses are designed by professionals for professionals who want to develop new skills or transfer existing skillsets into commercial areas. We help companies drive digital transformation through skill building, education and rigorous measurement.
RPanda offers immersive courses in business analytics and data science using R/Python in commodities trading and risk management. Custom courses are also available on request and can be delivered live, online or in hybrid format. Please contact us for details.
Introduction to Data Science with R/Python
Data science skills are increasingly sought-after in the market place. The core objective of this bootcamp is to set you on a path to learning the skills required to implement finance concepts and theory in R/Python. Who should attend this course: (1) You are committed to building a basic skillset that will differentiate you in the workplace and is consistent with how leading organizations operate. (2) You have expertise in MS Excel, with or without VBA, and wish to grow your skillset and increase your productivity by learning a data science language. (3) You have a desire for learning data science languages and looking for a learning opportunity within an organized learning environment. (4) You plan on taking classes using R/Python and want to develop an edge going into it.
Introduction to Commodities Trading
In this course we will cover a number of key skills through a combination of pre-recorded learning modules, interactive learning assessments and multi-day and real time trading simulations combined with instructor feedback. The key skill areas include: (1) The basics of commodity markets and trading (2) The basics of financial data science (3) Approaches to forming a market call (4) Real Optionality and trading physical assets (5) Basics of commodity risk management (6) Psychology of Trading