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Object-Oriented Programming.

Learn object-oriented programming with Python and apply central design principles and best practices to implement software projects efficiently and as part of a team.

Part time
6 weeks full-time / 12 weeks part-time
Available in German & English
Object Oriented Programming Training

What is Object-Oriented Programming (OOP)?

Object-Oriented Programming (OOP) is a programming approach that structures data and functions in classes. This method makes it possible to develop complex applications flexibly, securely and efficiently - ideal for modern Python projects.

Who is the Object-Oriented Programming course suitable for?

The training is suitable for anyone who wants to increase their job opportunities with OOP skills in Python. Here you will learn sought-after future skills that will strengthen your position on the job market and ideally prepare you for practical work with Python.

For which professional groups is the training relevant?

Relevance for anyone who works in data-related, technical or analytical fields and wants to use modern Python development.

  • As a software developer:implement object-oriented in practical applications
  • Develop interfaces and analyses as a data scientist
  • As an engineer:in designing technical solution architectures with Python
  • Create modular and reusable components as an IT consultant

In this training you will learn:

Advanced Python
OOP Design
Unit Testing
  • Working with selected Python libraries
  • Apply object-oriented programming with a focus on classes and attributes
  • Use inheritance for the reusability of code
  • Use advanced functions to simplify classes
  • Apply best practices for handling work processes
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Python - Focus Object-Oriented Programming
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Chapter 1: Advanced Python

In the introductory chapter, you will review the most important content from the previous module before learning a series of concepts that will catapult you to the next level of Python programming. You will take another in-depth look at function definition and learn about default values, type hints and assert statements. You will then be able to use functions even better as tools for your projects.</p

In addition, you will cover the terms list comprehension and dictionary comprehension for the efficient creation of lists and dictionaries. At the end of the chapter, you will learn how to adapt your code to the industry standard PEP8 using layout and structure.

<p

Chapter 2: OOP Basics

In the second chapter, you will use simple examples to learn what OOP is, which program principles are based on it and which conclusions you can draw from it. In the main part of the chapter, you will explore how classes and attributes are defined and used. You will use examples to examine instance methods as well as their use and definition with method chaining.

You will learn what the self keyword is and how to distinguish debugging from class definitions. Finally, you will test your previous knowledge in an interactive intermediate project and repeat the exercises from the chapter.

<p

Chapter 3: Inheritance and Composition

In the third chapter, you will learn what inheritance and composition are and how to use these concepts in use cases. In addition to simple inheritance, you will also learn more advanced methods such as the inheritance hierarchy and multiple inheritance. You will practice in-depth inheritance methods that are used to reuse data from parent to child classes and compensate for data loss.

Finally, we will provide you with the most important best practices for unit tests to detect errors in your code before your users find them.

Chapter 4: Advanced OOP

In the fourth chapter, you will cover advanced concepts of object-oriented programming that will accompany you in your everyday work. You will study how programs and modules differ and what role __main__ plays in this. You will also learn what Decorators are and how to use Property Decorators optimally. You will look at static and class methods and which special methods and class representations can be used with __str__() and __repr__().

Building on this, you will learn about the display options of Operator Overloading and other important methods from the Python Standard Library and then apply what you have learned in a company-relevant intermediate project.

Chapter 5: OOP Applications

In the fifth chapter, you will put your knowledge to the test in two larger projects that represent classic use cases of object-oriented programming. In the first project, you will build your own interface to a popular Data Science library, which enables further possible uses for machine learning and data or text analysis.

<p

The second project deals with programming your own blockchain, where you will learn more about the underlying concepts. At the end of Module 2, you will be equipped to apply OOP in the corporate world.

<p

Final Project

As part of the final exam, you will consolidate the content you have learned from the Python Basics and Object-Oriented Programming modules and independently program a password manager. To do this, you will set up a programming environment and use a terminal to fill your file with data records that create a set of rules that configure the password manager.

This training is part of the training programs:
In this training you will learn:
Advanced Python
OOP Design
Unit Testing
  • Working with selected Python libraries
  • Apply object-oriented programming with a focus on classes and attributes
  • Use inheritance for the reusability of code
  • Use advanced functions to simplify classes
  • Apply best practices for handling work processes

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

The next
start dates.
Training programTraining Date Date/Duration Model
08.06.2026
08.06.2026 4 months Full-time
Full-time Apply
08.06.2026
08.06.2026 8 months Part-time
Part-time Apply
15.06.2026
15.06.2026 4 months Full-time
Full-time Apply
15.06.2026
15.06.2026 8 months Part-time
Part-time Apply
22.06.2026
22.06.2026 4 months Full-time
Full-time Apply
22.06.2026
22.06.2026 8 months Part-time
Part-time Apply
29.06.2026
29.06.2026 4 months Full-time
Full-time Apply
29.06.2026
29.06.2026 8 months Part-time
Part-time Apply
The next
start dates.
Training
Starttermine
Python Programmer Python Programmer 08.06.26 +3 more
  • 08.06.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 15.06.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 22.06.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 29.06.2026
    • Full-time - 4 months
    • Part-time - 8 months
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AON
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Data Scientist
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"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
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+8,000 graduates
93 % Completion rate
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FAQ

In the certified Object-Oriented Programming training course, you will deepen your knowledge of Python and ensure that you can also apply your skills when working with teams and organizations. You will also learn the most important design principles and best practices of object-oriented programming so that you can implement your software projects even faster and more efficiently.

You will complete the training with two larger practical projects in which you will program an interface to a popular data science library and your own blockchain.

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 valuable for companies.