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Future Skill

Artificial intelligence.

You can become an AI expert with further training in data science.
Brain and circuit symbolize artificial intelligence on a dark blue background.
What is the significance of AI?
Artificial intelligence (AI) is in the process of fundamentally changing numerous industries and is becoming increasingly important as a skill. It allows companies to make precise predictions, solve complex problems and significantly increase efficiency in numerous areas. Most modern AI technologies are based on analyzing large amounts of data and recognizing patterns from it. Machine learning algorithms make it possible to automate tasks that previously required human intelligence.
How are AI and Data Science connected?

AI is usually based on technologies that have their origins in the field of data science. Machine learning, neural networks and advanced algorithms are topics that data scientists are very familiar with and that form the backbone of modern AI.

In our Data Scientist training program, you will learn how to deal with machine learning, neural networks, advanced algorithms and other technologies behind the term AI in a working context. In this way, you will acquire the key skills for the AI revolution and prepare yourself for the future.

AI in the Data Scientist training program

In the following modules of the training program, the basic technologies behind modern AI are covered and applied in the portfolio project.

BI Analytics
Data Analytics
Data Science
Object-Oriented

Programming

Portfolio Project
Data Scientist Certification
Part time
Suitable for lateral entry
German speaking
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Data Science

Feature Icon Machine learning basics
Feature Icon Supervised Learning
Feature Icon Unsupervised Learning
An excerpt of the contents of the Data Science module with reference to AI...
  • Supervised learning with sklearn (regression) and k-Nearest Neighbors algorithm (classification)
  • Unsupervised learning with k-means algorithm (clustering) and principal component analysis (dimensionality reduction)
  • Applying deep learning and multilayer artificial neural networks to data sets
  • Classification algorithms such as Support Vector Machines (SVM)
  • Typical steps of Natural Language Processing (NLP)
Info icon 9 weeks full-time / 18 weeks part-time
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Portfolio Project

Feature Icon Set up data projects
Feature Icon Presenting data
Feature Icon Agile project management
Exemplary AI-related portfolio projects by StackFuel graduates...
  • Sentiment analysis in the financial sector: Natural Language Processing (NLP) approach to predicting stock prices based on sentiment in news headlines
  • AI in medical diagnostics: Neural network for analyzing MRI images to detect anomalies
  • AI-powered marketing: clustering algorithms to segment customers and support vector machines to predict conversion rates to predict effectiveness of different marketing strategies
Info icon 3 weeks full-time / 6 weeks part-time
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Are you interested?

With the Data Scientist training program, you will learn practical data skills and AI basics for a career start in a job with a future.

Learn this tech stack

What job roles do you qualify for?

There are currently over 10,000 data jobs advertised* in Germany.

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Our StackFuel Career Service supports you with career coaching and advice to get into one of these jobs and accompanies you after completing your training program until you start your job.
BI Analyst
Data Analyst
Product Analyst
Marketing Analyst
Data Scientist
Data Manager
Financial Analyst

Our training programs qualify you for various positions in the data area.

You can enter an industry that is completely new to you, or return to an industry you are familiar with with a new and sought-after skillset. Depending on your previous experience, you will usually start your career in a junior position. *Source: Indeed, Q2 2024

What our graduates say.

Over 6,000 graduates have already completed data analytics and data science training courses at StackFuel. Here, some of them talk about their experience:
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
Data Scientist Training Program
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program

Get personal advice now.

Our team of experts will work with you to find a suitable training program and answer any questions you may have.

We look forward to seeing you!

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+6,000 Graduates
91 % Completion rate
AZAV-certified
FAQ

Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.

Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.

With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.

This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts with your online training at StackFuel.

Data has become an integral part of our (professional) lives. In almost all areas, data helps you to better understand facts and make more precise decisions. Data skills are the key to being able to use and interpret data correctly. Even though you may not realize it, you work with, interact with and generate data every day.

This data is becoming increasingly important for companies and is the basis for decisions and business models, which makes data professionals incredibly important for companies.

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