All courses include access to our complete online learning platform in addition to the on-site workshops with our experts.
The online learning platform is a complete environment with code editor, quizzes, videos and more. This let’s your team dive deep into the subject.
Instantly deploy your ML-Models to the cloud. QBits automatically generate API endpoints that can be called from anywhere, anytime.
The QBit Workflow in 3 Steps:
Create a function with your favorite text editor or through the QBit web interface.
Deploy your function – including objects and package dependencies – within seconds and speedup your model development life-cycle.
Share models with your friends and colleagues or re-use existing building blocks within your data science workflow.
Building predictive models: Quant models, Machine Learning, AI and more
Refactoring existing code, make code production ready, deploy code to production
Setup Data science infrastructure with R/Python RStudio, Jupyterlab in the cloud (e.g. AWS) or on premise (e.g. kubernetes)
We can provide expertise and know-how in key areas of your Data Science pipeline, or help you build it in the first place.
Data Scientist working on big data projects in the financial industry. Mario has previously worked in the areas of market risk management, proprietary trading and research and is the organizer of the Vienna-R meetup. Mario has contributed various R packages and conference talks and is part of the R community for several years.
Data Scientist and Lecturer at Vienna University of Economics and Business with a focus on optimization, machine learning and deep learning. Ronald has multiple years of teaching experience at universities and large companies.
Data Scientist and Lecturer at Vienna University of Economics and Business with a focus on optimization, machine learning and deep learning. Florian has multiple years of teaching experience at universities and large companies.
Web Developer and Designer at Quantargo. In his short time in the field, Christian has gained practical experience with web technologies and UI/UX practices. He is now building this very site your are looking at right now.
Our experts have been part of the data science and the R community for many years. They have contributed to multiple R packages, presented their findings at conferences and published in renowned journals. Together they bring decades of R programming experience to the table.
Different domains such as Machine Learning, Information Science, Operations Research, Statistics, Text Mining are covered. Our trainers have multiple years of teaching experience at university or training professionals in the business context.