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Learn Python basics and work with libraries, variables, flow control and your own functions for efficient and dynamic data processing.
Python Basics covers basic programming skills in Python, including variables, data types, sequence control, functions and basic data structures. This makes it possible to carry out initial automation and small projects independently.
Ideal for anyone who wants to improve their job prospects with practical Python skills. Python makes it easier to work with data, automates processes and is in demand in many professions. This will increase your job opportunities and give you a key skill for the future.
In this chapter, you will move around our programming environment - the Data Lab - for the first time and execute your first code commands. You will start by learning what data or texts represent in Python. Using a set of rules, you will learn how data is created, assigned and tested in variables. You will then learn how to read common error messages and practise how to use them productively in your day-to-day work.
<pYou will also learn basic Python standard functions such as type() or str() and use them in application examples. Once you have become familiar with the if statement and can use it to link the flow of your code to conditions, you will conclude the chapter with the first part of a two-hour mini-project: you will program a user interface that reacts flexibly to user input.
In the second chapter, you will work on two essential processes to make your code even more flexible: You will learn about lists and for loops. Lists allow more flexibility in storing data and are a prerequisite for advanced programming.</p
You will learn how to create, read and change them in a targeted manner. You will use lists to expand the functionality of your user interface from the first chapter and complete the first mini-project. You will then work with for loops, which you can use to automatically execute your code several times, taking you to the next level of programming.
In the third chapter, you will round off your programming skills in Python and learn advanced techniques. This includes functions and methods. You will learn to define functions independently and thus structure your code better. You will also combine individual programming elements such as conditions, loops and functions in programs.
You will use various methods to learn how to import Python modules correctly and ensure functionality as a whole. Linked to this, you will learn how to read in and export data as a simple test. With the help of a one-hour mini-project with telephone data, you will consolidate what you have learned in the chapter.
<pIn the fourth chapter, the content of chapters 1-3 is repeated and rounded off with more advanced content. You will learn what dictionaries are and how they make your code even more efficient. You will become familiar with complex data structures that you will need for your final project.
<pIn a four-hour practical project to create a complex user interface for the automated processing of customer inquiries, you will have to bring together all the content from the previous chapters.
Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.
Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.
Completely online and full or part-time, you can train in the way that works best for you.
Our data experts are always in contact and offer support and motivation.
After completing the training program, you will receive our recognized certificate to prove your skills.
Our Career Service supports you with advice and coaching when you start your data job.
| Training program | Duration | ||
|---|---|---|---|
| 16.02.2026 |
4 months
Full-time
|
Apply | |
| 16.02.2026 |
8 months
Part-time
|
Apply | |
| 23.02.2026 |
4 months
Full-time
|
Apply | |
| 23.02.2026 |
8 months
Part-time
|
Apply | |
| 02.03.2026 |
4 months
Full-time
|
Apply | |
| 02.03.2026 |
8 months
Part-time
|
Apply | |
| 09.03.2026 |
4 months
Full-time
|
Apply | |
| 09.03.2026 |
8 months
Part-time
|
Apply |
Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:
We will help you choose the right training program for your data career and advise you on the path to funding.
Free of charge, without obligation and simply over the phone.
In the certified Python Basics training course, you start with basic knowledge of Python. You will work with special Python libraries to process data efficiently and use variables, data types and basic functions.
You will also learn how flow control structures such as if statements and for loops dynamize the code. You will develop your own functions and import modules to extend the functionality. Finally, you will implement a final project for automated customer enquiry processing.
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.
