Our experts therefore focus on data-centric programming languages, such as R and Python combined with Jupyter Notebooks and the respective specialist libraries like numpy, pandas, scikit-learn, keras, tensorflow, prophet, OpenCV or Shiny.
Before we implement use cases together with you in large-scale projects, we offer you the opportunity to quickly test the first use cases in a proof of concept (PoC). We recommend the open source programming languages Python and R for this purpose.
Open source provides two key advantages:
Another advantage of Python and R is that almost all major manufacturers, such as Microsoft, SAS, SAP or cloudera, provide interfaces for the programming languages. This means that data science models developed in PoC can be easily transferred to the production system. For this reason, we continually train our data scientists in programming, data analysis and visualisation and have already been able to apply our expertise in many projects.