Portfolio project.

Q: What do I learn in the StackFuel portfolio project?

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.

Q: What sets StackFuel apart from other training providers?

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.

Q: Why is StackFuel the right choice for me?

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. In certified training programs, you’ll learn online on weekdays between 8:30 a.m. and 5:30 p.m.—in live, guided sessions featuring 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist and teach you how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.

Q: How can AI and data skills help me launch a new career?

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.

Together with our coaches, you'll carry out your own data project, which will help you build a compelling portfolio to include with your job applications.

Full/Part time

3 weeks (full-time)

Advanced

German

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:

Portfolio project

Git & GitHub

Agile Teamwork

What? You'll select a data analytics or data science project, set up your work environment using Git and GitHub, organize your project with Notion, work using agile methods, and carry out a complete data project from analysis to presentation.
What for? So you can show potential employers a real sample of your work instead of just a resume.
Practice: You'll work on the project on your own or in a small group, receiving feedback from our coaches, and present it online to participants and StackFuel employees.

Table of contents

1
Orientation, technical setup and first steps

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.

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

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

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:

Portfolio project

Git & GitHub

Agile Teamwork

What? You'll select a data analytics or data science project, set up your work environment using Git and GitHub, organize your project with Notion, work using agile methods, and carry out a complete data project from analysis to presentation.
What for? So you can show potential employers a real sample of your work instead of just a resume.
Practice: You'll work on the project on your own or in a small group, receiving feedback from our coaches, and present it online to participants and StackFuel employees.

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.

Predictable

Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.

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
Business Analysis & Process Analysis 3 variants	09.11.2026	09.11.2026 5–6 months Full-time	Full-time	Apply
Business Analysis & Process Analysis 3 variants	09.11.2026	09.11.2026 10–12 months Part-time	Part-time	Apply
Business Intelligence 4 variants	09.11.2026	09.11.2026 4–6 months Full-time	Full-time	Apply
Business Intelligence 4 variants	09.11.2026	09.11.2026 9–11 months Part-time	Part-time	Apply
Data Analysis 3 variants	09.11.2026	09.11.2026 7–9 months Full-time	Full-time	Apply
Data Analysis 3 variants	09.11.2026	09.11.2026 14–17 months Part-time	Part-time	Apply
Data Engineering	09.11.2026	09.11.2026 41 weeks Full-time	Full-time	Apply
Data Engineering	09.11.2026	09.11.2026 82 weeks Part-time	Part-time	Apply
Data Science 3 variants	09.11.2026	09.11.2026 10–12 months Full-time	Full-time	Apply
Data Science 3 variants	09.11.2026	09.11.2026 21–24 months Part-time	Part-time	Apply
Project Management (Basics) 3 variants	09.11.2026	09.11.2026 3–5 months Full-time	Full-time	Apply
Project Management (Basics) 3 variants	09.11.2026	09.11.2026 7–9 months Part-time	Part-time	Apply
Project Management 2 variants	09.11.2026	09.11.2026 6–7 months Full-time	Full-time	Apply
Project Management 2 variants	09.11.2026	09.11.2026 12–13 months Part-time	Part-time	Apply
Business Analysis & Process Analysis 3 variants	23.11.2026	23.11.2026 5–6 months Full-time	Full-time	Apply
Business Analysis & Process Analysis 3 variants	23.11.2026	23.11.2026 10–12 months Part-time	Part-time	Apply
Business Intelligence 4 variants	23.11.2026	23.11.2026 4–6 months Full-time	Full-time	Apply
Business Intelligence 4 variants	23.11.2026	23.11.2026 9–11 months Part-time	Part-time	Apply
Data Analysis 3 variants	23.11.2026	23.11.2026 7–9 months Full-time	Full-time	Apply
Data Analysis 3 variants	23.11.2026	23.11.2026 14–17 months Part-time	Part-time	Apply
Data Engineering	23.11.2026	23.11.2026 41 weeks Full-time	Full-time	Apply
Data Engineering	23.11.2026	23.11.2026 82 weeks Part-time	Part-time	Apply
Data Science 3 variants	23.11.2026	23.11.2026 10–12 months Full-time	Full-time	Apply
Data Science 3 variants	23.11.2026	23.11.2026 21–24 months Part-time	Part-time	Apply
Project Management (Basics) 3 variants	23.11.2026	23.11.2026 3–5 months Full-time	Full-time	Apply
Project Management (Basics) 3 variants	23.11.2026	23.11.2026 7–9 months Part-time	Part-time	Apply
Project Management 2 variants	23.11.2026	23.11.2026 6–7 months Full-time	Full-time	Apply
Project Management 2 variants	23.11.2026	23.11.2026 12–13 months Part-time	Part-time	Apply

The next
start dates.

Training

Start dates

Business Analysis & Process Analysis3 variants 09.11.26 +1 more

09.11.2026
- Full-time - 5–6 months
- Part-time - 10–12 months
23.11.2026
- Full-time - 5–6 months
- Part-time - 10–12 months

Apply

Business Intelligence4 variants 09.11.26 +1 more

09.11.2026
- Full-time - 4–6 months
- Part-time - 9–11 months
23.11.2026
- Full-time - 4–6 months
- Part-time - 9–11 months

Apply

Data Analysis3 variants 09.11.26 +1 more

09.11.2026
- Full-time - 7–9 months
- Part-time - 14–17 months
23.11.2026
- Full-time - 7–9 months
- Part-time - 14–17 months

Apply

Data Engineering 09.11.26 +1 more

09.11.2026
- Full-time - 41 weeks
- Part-time - 82 weeks
23.11.2026
- Full-time - 41 weeks
- Part-time - 82 weeks

Apply

Data Science3 variants 09.11.26 +1 more

09.11.2026
- Full-time - 10–12 months
- Part-time - 21–24 months
23.11.2026
- Full-time - 10–12 months
- Part-time - 21–24 months

Apply

Project Management (Basics)3 variants 09.11.26 +1 more

09.11.2026
- Full-time - 3–5 months
- Part-time - 7–9 months
23.11.2026
- Full-time - 3–5 months
- Part-time - 7–9 months

Apply

Project Management2 variants 09.11.26 +1 more

09.11.2026
- Full-time - 6–7 months
- Part-time - 12–13 months
23.11.2026
- Full-time - 6–7 months
- Part-time - 12–13 months

Apply

Here's what our participants have to say:.

More than 8,000 graduates have already completed a training program in data and AI skills at StackFuel (a Multiverse Company). Here, some of them share their experiences:

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."

Nurseven Simsek

Participants

BI + Data Analyst

"I really appreciated the well-structured content and the flexible organization."

Georges Kanaan

Participants

Data Analyst Further Training

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

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."

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."

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."

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

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

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

Michael

Participants

AI specialist

"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."

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

Ulrike

Participant

Data Scientist Further Training

"I found the format very helpful because it conveys a lot of knowledge."

Philipp Gehrlein

Participants

AI Automation Expert

"I learned a lot of new and practical things during the training that I can now apply directly in my everyday life and in a professional setting."

Sandra Wilde

Participant

AI specialist

"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."

Philipp Buthmann

Participants

Python Programmer

"The overall vibe was just always really great!"

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

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."

Yeonhee Kim

Participant

BI Analyst Continuing Education

"The live sessions were helpful, as was the support from the mentors."

Get personal advice now.

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FAQ

What do I learn in the StackFuel portfolio project?

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.

What sets StackFuel apart from other training providers?

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.

Why is StackFuel the right choice for me?

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. In certified training programs, you’ll learn online on weekdays between 8:30 a.m. and 5:30 p.m.—in live, guided sessions featuring 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist and teach you how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.

How can AI and data skills help me launch a new career?

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.

Portfolio project.

What is The Portfolio Project?

Who is the portfolio project suitable for?

In this training you will learn:

1Orientation, technical setup and first steps

Introduction

Choosing a data project

Setting up the working environment

Structured working in data teams

2Agile project management & project work

Project management & project work

3Completion of the project work incl. presentation

Documentation & presentation

Your benefits with StackFuel.

Here's what our participants have to say:.

Get personal advice now.

FAQ

1
Orientation, technical setup and first steps

2
Agile project management & project work

3
Completion of the project work incl. presentation