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Create a convincing project for your application portfolio and learn how to present results professionally and work with Git in a team.
A portfolio project is an independently implemented piece of work in the field of data analytics or data science. It demonstrates your practical skills using real data and shows potential employers your abilities and project experience.
The aim of the portfolio project is to help you build up a portfolio. Career changers in particular are better able to convince potential employers with a convincing work sample than with their CV alone.
In week 1 you will get to know your fellow module participants, be informed about the course of the module and gain initial insights into the components and building blocks of project work.
Learn more about the building blocks of a meaningful portfolio project and gain insights into sample projects from the Data Analyst and Data Scientist training program. Datasets are explored, evaluated for their suitability for a project and groups are formed around these projects.
You start with the local installation of the required software (Python, Anaconda, Git) and the setup of a virtual environment. Over the course of the week, you will learn and consolidate the use of Git and Github.
You create your first project board on Notion and are introduced to the most important functionalities of the project management tool. This will optimally prepare you for the collaborative and agile way of working in data and IT professions.
In Week 2 you will apply the principles of project management and learn how to organize your project well through formats such as daily standups, sprint planning, sprint retros, Kanban and individual group meetings.
You put full focus on the implementation of your project and are in constant communication with your mentor. You can choose the form of implementation that best suits your vision, from dashboards with Power BI to your own applications or websites.
In week 3 you finalize, document and clean up your code so that it meets industry standards. You structure and add to your Github repository so that employers can get a good idea of your first project when you apply.
Finally, you prepare a presentation in which your project group reports on the background and results of the project. You present them to other participants and mentors and discuss questions and feedback. After a successful presentation, the portfolio project is complete and you can contact the StackFuel Career Service to develop an application strategy.
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 | ||
|---|---|---|---|
| 16.03.2026 |
6 months
Full-time
|
Apply | |
| 16.03.2026 |
12 months
Part-time
|
Apply | |
| 16.03.2026 |
8 months
Full-time
|
Apply | |
| 16.03.2026 |
16 months
Part-time
|
Apply | |
| 23.03.2026 |
6 months
Full-time
|
Apply | |
| 23.03.2026 |
12 months
Part-time
|
Apply | |
| 23.03.2026 |
8 months
Full-time
|
Apply | |
| 23.03.2026 |
16 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.
You will learn what employers look for in work samples in the field of data analytics and data science and which focus areas are suitable for you. Together with the mentors, you will select suitable data sets and questions. You will then develop projects for your application portfolio, either individually or in small groups, work on them independently with feedback from the mentors and present them online to an audience of participants and StackFuel employees.
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.
