Webinar - Haufe Akademie GmbH & Co. KG
Termin | Ort | Preis* |
---|---|---|
01.01.2025- 31.12.2025 | online | 345,10 € |
01.02.2025- 31.01.2026 | online | 345,10 € |
01.03.2025- 28.02.2026 | online | 345,10 € |
01.04.2025- 31.03.2026 | online | 345,10 € |
01.05.2025- 30.04.2026 | online | 345,10 € |
01.06.2025- 31.05.2026 | online | 345,10 € |
01.07.2025- 30.06.2026 | online | 345,10 € |
01.08.2025- 31.07.2026 | online | 345,10 € |
01.09.2025- 31.08.2026 | online | 345,10 € |
01.10.2025- 30.09.2026 | online | 345,10 € |
01.11.2025- 31.10.2026 | online | 345,10 € |
01.12.2025- 30.11.2026 | online | 345,10 € |
The library contains the following courses:
Unlimited access to the learning library:Lifelong learning as part of everyday life. The StackFuel online learning library provides you with comprehensive digital training in the areas of data literacy and AI literacy.
Access to over 40 exclusive Micro Lessons: The Micro Lessons bundle learning units on topics such as AI, Big Data, Storytelling or Data Management. Learn buzzwords and important contexts in a nutshell.
Consultation hour with the StackFuel mentors: Learning coaches will help you organise your training, advise you on questions and problems and work with you to develop suitable learning paths for the optimal development of your career.
Access to the Data Community:Exchange ideas with other members and benefit from the opportunity to network with data & AI enthusiasts from a wide range of industries.
Access to the StackFuel Content Lab: The StackFuel Content Lab gives you access to all practical guides, exclusive insider tips, other publications on data science & data analytics trends and practical webinars.
Certificates of attendance for all courses:After completing a basic training course, you will be issued with a personalised certificate of attendance as proof of your qualification.
Employees who have a better understanding of data and AI, perform simple analyses independently or work closely with data experts. A basic interest in data is an advantage in order to benefit from the training courses. No prior knowledge or programming skills are required for the training courses.