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Every 1-2 months
Whether you are an employee, a manager, or looking for a job – we will help you become a data expert with our certified and fundable upskilling and reskilling courses, which are suitable for every specialist department and every career level. We’ll ensure you learn successfully with our dedicated mentoring team to keep an eye on your progress. Our practical tasks and projects will prepare you for dealing with the latest technologies and applications.
With a “Bildungsgutschein” from the employment agency, you can have your further education financed 100% by the job center or the employment agency if you are currently registered as unemployed or looking for work.
If you are employed, you can have your employer finance your continuing education in part or in full through the Qualifications Opportunity Act – regardless of qualification, age and company size.
If you are currently enrolled at a university or college in Germany, you can take our courses at a 50% discount.
Use our installment plan to spread the cost of your continuing education over several months and maintain your financial flexibility.
Pay securely and easily after your workout by letting us send you a bill.
The demand for data experts is high. Around 4 million data experts will be needed in Europe by 2025. And in 2021 alone, more than 80,000 positions for IT professionals have already been advertised in Germany. Above all, the demand for data and AI experts continues to grow enormously.
But a decision for a career in data is so much more than just a safe decision for the future! As a data expert, you’ll deal with powerful, socially relevant topics, be a tech professional and be communicative and creative at the same time. The profession is varied, can be combined with most other professions and offers an attractive salary. And most importantly: you can learn the kills you need with us!
Yes, after successfully completing the course, you will receive a certificate of completion from us that you can show in your job applications. Data Analysts and Data Scientists are desperately needed in many business sectors. Even without relevant work experience, your chances of finding an entry-level job are good. In addition, there are analysts in almost every industry, who may have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
No, the course is designed to be flexible in terms of time and can fit around your job. You can pursue your profession without restrictions and can schedule your learning times as they best suit you. If you suddenly have more time available, you can contact us by email and we’ll activate the learning content for the more intensive version in your account. In this version you can complete the training within just four weeks. If you find that you need more time, you can still complete the content in the regular time.
Yes, our online training courses are designed to offer you the greatest possible flexibility. Basically, we recommend that you plan six to eight hours per week for learning. When you schedule this time is up to you and is not prescribed by us. In our career paths, the Data Analyst and Data Scientist courses, we offer live webinars where you can ask our mentors questions, but you don’t have to attend if it doesn’t fit your schedule.
(This does not apply to participants in our funded training courses. They have to attend a fixed number of hours per week and are obliged to participate in the live webinars).
StackFuel GmbH
Nostitzstraße 20
10961 Berlin
info@stackfuel.com
030 / 544 533 420
EUROPÄISCHE UNION
Europäischer Fonds für
regionale Entwicklung
Project description: In addition to the ongoing improvement of the existing interactive learning platform (Data Lab), the funding project focuses on the development of a student-centric learning analytics system (LAS) and the development of an intelligent tutoring system (ITS). This enables StackFuel to respond effectively to the learning behavior of training participants and to provide them with an individualized and personalized learning experience.
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