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  • TRAINING

Portfolio project.

Create a convincing project for your application portfolio and learn how to present results professionally and work with Git in a team.

Full/Part time
3 weeks (full-time)
Advanced
German
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What is The Portfolio Project?

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.

Who is the portfolio project suitable for?

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 this training you will learn:

Set up data projects
Presenting data
Agile project management
  • Independently select data analytics and data science projects and implement them professionally using the learned workflow
  • Working collaboratively in a team and delivering projects with Git
  • present results and discuss them using technical language
Download Curriculum
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Table of contents

1
Orientation, technical setup and first steps
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Introduction

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 the project work.

Choosing a data project

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.

Setting up the working environment

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.

<p

Structured working in data teams

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.

2
Agile project management & project work
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Project management & project work

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.

3
Completion of the project work incl. presentation
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Documentation & presentation

In Week 3 you finalize, document and clean up your code so that it meets industry standards. You structure and complete your Github repository so that employers can get a good picture 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.</p

This training is part of the training programs:
In this training you will learn:
Set up data projects
Presenting data
Agile project management
  • Independently select data analytics and data science projects and implement them professionally using the learned workflow
  • Working collaboratively in a team and delivering projects with Git
  • present results and discuss them using technical language
Download Curriculum

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
28.09.2026
28.09.2026 6 months Full-time
Full-time Apply
28.09.2026
28.09.2026 12 months Part-time
Part-time Apply
28.09.2026
28.09.2026 8 months Full-time
Full-time Apply
28.09.2026
28.09.2026 16 months Part-time
Part-time Apply
05.10.2026
05.10.2026 6 months Full-time
Full-time Apply
05.10.2026
05.10.2026 12 months Part-time
Part-time Apply
05.10.2026
05.10.2026 8 months Full-time
Full-time Apply
05.10.2026
05.10.2026 16 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
Data Analyst Data Analyst 28.09.26 +1 more
  • 28.09.2026
    • Full-time - 6 months
    • Part-time - 12 months
  • 05.10.2026
    • Full-time - 6 months
    • Part-time - 12 months
Apply
Data Scientist Data Scientist 28.09.26 +1 more
  • 28.09.2026
    • Full-time - 8 months
    • Part-time - 16 months
  • 05.10.2026
    • Full-time - 8 months
    • Part-time - 16 months
Apply
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Here's what our participants have to say:.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

Ines Bulmahn
Participant
AI & Data Transformation Manager
"The course had a very strong practical component, and I was able to take a lot away from it."
Georges Kanaan
Participants
Data Analyst Further Training
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Ninel Kloss
Participant
BI Specialist, Data Analyst, Data Scientist
"During the course, I experienced a lot of positive emotions. The learning process was perfectly organized: there was a lot of important and interesting information, as well as varied and exciting assignments. Not everything I did was always easy for me, but it was always interesting and fun. A special thank you goes to the team of mentors. Whenever you need help, they’re there—patient and professional."
Maxi
Participant
BI Analyst Continuing Education
"The mentoring team is always available, and the schedule is flexible."
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
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
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
Ayu Distler
Participant
Python Programmer Training
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
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
Sebastian Peter Piskalla
Participants
Continuing Education for AI Professionals
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
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
Shahrouz
Participants
Continuing Education for AI Professionals
"The course was well-structured, practical, and explained clearly. The hands-on exercises with Excel, Word, and PowerPoint, as well as the methods for verifying the results, were particularly helpful."
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
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
Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program

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+8,500 graduates
93 % Completion rate
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FAQ

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 programs are developed and produced by our in-house team of data scientists and subject matter experts, who provide you, as a participant, with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through one-on-one interaction that all your questions are answered, thereby guaranteeing your learning success. Thanks to our “learning-by-doing“ approach, you’ll learn in our interactive learning environment using realistic datasets and real-world business cases from the industry, perfectly preparing you for a successful career start in a data-related role.
With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to develop your data skills in a hands-on way. Through certified training programs, you’ll learn online, on your own schedule, with 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist, and you’ll learn how to apply data and the fundamentals of artificial intelligence professionally. Your new career in data starts with your online training at StackFuel.
AI and data have become an integral part of our (professional) lives. Those who understand how to analyze data, use AI tools efficiently, and leverage AI applications possess in-demand skills for the workplace of tomorrow. That’s exactly why people with AI and data skills are particularly valuable to companies—and why new career opportunities are opening up in many industries and professional fields.
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