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Future Skill

Programming.

Learn to program with Python - the most popular programming language the world.
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Programming with Python

Programming is the basis for the development of software and applications that influence our daily lives. It has become an essential skill as it enables companies to automate processes, analyze data and develop innovative solutions.

The Python programming language is particularly popular with beginners because it is easy to learn and versatile. It offers a clear and understandable syntax that enables even beginners to quickly become productive. Once you have mastered it, it is easier to learn other languages.

How are Python and Data Science connected?

Python is often used for data analysis and machine learning as there are many powerful libraries such as Pandas, NumPy and Scikit-Learn.

Programming with Python is a central component of our Data Analyst and Data Scientist training program. For example, you will learn how to write simple scripts, handle variables, functions and loops and apply advanced techniques such as machine learning and deep learning. This will prepare you for the future and teach you how to program with a specific area of application.

Programming in the Data Scientist training program

In the following modules of the training program, programming with Python is a central component, which is professionalized 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 Analytics

Feature Icon Python Basics
Feature Icon Data analytics with Python
Feature Icon Statistics basics
An excerpt of the contents of the Data Analytics module with reference to programming...
  • Basics of programming in Python: variables, functions, methods, conditions and loops
  • Use of popular Python libraries such as Pandas and Matplotlib to read, process and visualize data
  • Dealing with internal (csv, SQL) and external data sources (APIs) in Python
  • Use of the Python library statsmodels to make predictions
Info icon 9 weeks full-time / 18 weeks part-time
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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 programming...
  • Use of the Python library NumPy for efficient numerical calculations
  • Introduction to Scikit-Learn (sklearn) for the use of machine learning algorithms
  • Using TensorFlow to create and train neural networks and working with Keras as a high-level API for the development and training of deep learning models
  • Development and management of data pipelines for the automation and optimization of data processing processes
Info icon 9 weeks full-time / 18 weeks part-time
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Object-Oriented Programming

Feature Icon Advanced Python
Feature Icon OOP Design
Feature Icon Unit Testing
Deepen your Python knowledge with principles of object-oriented programming...
  • Process functions and lists in Python
  • Working with selected Python libraries
  • Interactive interim project on best practice handling of work processes
  • Object-oriented programming (OOP) with focus on classes and attributes
  • Use inheritances for code reusability
  • Advanced functions for simplifying classes
Info icon 4 weeks full-time / 8 weeks part-time
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Portfolio Project

Feature Icon Set up data projects
Feature Icon Presenting data
Feature Icon Agile project management
Consolidate and improve the programming skills you have learned by completing a project of your choice...
  • Application of libraries such as Pandas, NumPy and Matplotlib
  • Development and evaluation of machine learning models using Scikit-Learn, TensorFlow or Keras
  • Consolidate debugging skills to effectively fix errors in the code
  • Use of Git and GitHub for version control and team collaboration
  • Best practices for documenting code and projects to foster collaboration and meet industry standards
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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