“Only those who have data and use it wisely will be economically successful in the future,” says Bitkom President Achim Berg.
In a world of ever increasing amounts of data, the roles of data analyst and data scientist become more and more important in almost all companies.
With our advanced training, the foundation is laid for your company to successfully measure and evaluate your data and make optimal use of it.
Whether for future forecasts or decisions based on data from the IoT (sensor technology and co.): As a data specialist, you are responsible for creating a structured database from disorganized data, analyzing it and using it in appropriate use cases.
Prepare your employees for the new roles in the Data Economy to profitably unlock all the data available in your organization.
Build critical skills in-house for the digital future of your company: Train as a specialist capable of writing code that is readable, maintainable and testable in order to derive decisions or predictions from data.
The program is tailored to your specific needs within each department or business unit and allows you to train for a variety of roles – from data analyst to software engineer.
Program of a client project for software engineers in vehicle development (200 hours over 26 weeks).
For more than 30 years, FIDA is operating very successfully in the areas of data analytics, software development and process consulting. Based on theirexperience of more than 350 projects, the development of their software and high expertise, they offer individual and customer-focused trainings and workshops with strong practical relevance for the topics Data Science, Data Engineering and Big Data.
Many years of expertise, excellent quality and future-oriented thinking make FIDA the ideal partner in the implementation of our practical complete program for programming and data analytics in Python.
Almost every day, well-known companies find themselves in the headlines because they have been the victim of a cyberattack. For a long time now, security training and the development of measures have no longer been about the question of whether one will be affected, but when and to what extent. However, this does not mean that manufacturing companies should just sit and wait until the time comes. In this paper, we have listed what companies can do in advance to delay attacks and be as resilient as possible to attacks.
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