Getting started with Python: the online course with all the basics

This online course offers you a particularly practice-oriented learning concept with comprehensive self-study units and a team of mentors who are available to you at all times. A new chapter will be activated for you every week. With a time budget of around 8 hours per week, you are sure to reach your goal in 4 weeks. This is how you learn in the course:

Data Lab: In the course's learning environment, you can expect videos, interactive graphics, text and, above all, lots of practical exercises. You can carry these out directly in the browser.

Mentor team: Your learning coaches are available to answer any questions you may have. They are experienced Python experts who will be happy to help you - via chat, audio or video call.

Webinars: Once a week, you have the opportunity to take part in webinars and immerse yourself in selected special topics of data analysis.

Career coaching: What professional goals are you pursuing with your further training and how can you achieve them? A team of mentors is available to help you achieve your career goals.

Certificate: After the final project - the programming of a user interface for the automated processing of customer inquiries - you will receive your official certificate of participation in this training course.

This online training is provided by our partner StackFuel GmbH. StackFuel specializes in training courses on data literacy, data science and AI.

In this practice-oriented training course, you will learn the basic concepts of Python and how to apply them.

You will learn how to write, execute and adapt your own scripts and programs quickly and easily with Python.

You will learn all about the use of libraries for reading, processing and saving local data.

You will learn how to program automation with Python and use it in a wide variety of scenarios.

You will gain specialist knowledge on the use of Python for complex data structures and the creation of simple user interfaces for your applications.

You not only learn theory, but also apply the methods and techniques in many practical exercises and consolidate your knowledge quickly and sustainably.

The technical barriers to entry are minimized through the use of Jupyter notebooks, with which you can carry out the exercises directly in the browser.