The 2-day training provides deeper insights into Python's analysis capabilities for advanced users.
The Training sessions are usually held in German. Please contact us if you are interested in Training sessions in English.
The Python open source programming language impresses with its clear syntax, simple structures and easy readability. Thanks to the extensive standard libraries, Python can be used to realise powerful ideas with just a few lines of code – in fact in almost all application areas.
Despite or precisely because of this simplicity, Python offers good scalability and is particularly suitable for the effective implementation of complex analysis models and simulations. The ‘Python for Analysts’ course provides deeper insight into Python’s analysis options for advanced users.
The participants are to be trained further in such a way that they can solve specific challenges and problem in their professional field more effectively using Python. Participants learn the following skills in a participative workshop format based on practical application scenarios and case studies:
Python’s specific application areas in companies are:
This Training focuses on practical applicability. The Training is based on a database that the participants use to learn methods, tools and techniques.
Jupyter Notebooks course
Introduction to Pandas
Introduction to Pandas – continued
Introduction to data visualisation using Jupyter
Outlook: Machine Learning using Sci-Kit Learn
The Python Basic Training is also offered as on-site Training. If you have several employees in your company who are interested in the Training, you are welcome to request an individual quote for Training at your premises and on the date you want. Please contact Königsweg directly with your enquiry.
The ‘Python for Analysts’ Training is conducted by our Training partner Königsweg. Königsweg supports companies in designing sustainable business models and processes. Königsweg identifies relevant key technologies in the field of Data Science and Artificial Intelligence and integrates them into a perfectly coordinated portfolio in cooperation with technologically strong network partners. In this context Königsweg sustainably qualifies its clients in data analysis and visualisation using open source applications. Königsweg also advises decision-makers on strategic and operational issues, such as the planning and implementation of digital go-to-market strategies or QM certification.
