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Analytics & Reporting - Focus Power BI.

You prepare data using Power Query, calculate metrics using DAX, and present the results in dashboards tailored to specific audiences.

Full/Part time
4 weeks (full-time)
Beginner-friendly
German
Power BI Dashboard with data analysis and interactive visualizations.

What is Power BI?

Power BI is a modern tool from Microsoft for the analysis, visualization and evaluation of data. With Power BI, you can create interactive dashboards and reports that provide clear and efficient support for data-based decisions in the company.

Who is the Power BI training course suitable for?

The training is ideal for anyone who wants to improve their chances on the job market with Power BI skills. You will learn in a practical and future-oriented way how to make data visible and gain crucial insights for your career.

In this training you will learn:

Power BI
DAX
Data Storytelling
  • What? You'll learn about the interface and basic functions of Power BI, prepare data using the Power Query Editor, design visualizations and dashboards, and calculate metrics using DAX and statistical methods.
  • What for? So you can support data-driven decision-making in your company with clear reports and interactive analyses.
  • Practice: You'll reinforce what you learn in each chapter through practical projects—four in total.
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Analytics & Reporting - Focus Power BI
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Chapter 1: Introduction to Power BI

In the first chapter, you will learn why data-driven decisions are important and what the workflow of data analyses looks like. You will get to know the most important basic functions of Microsoft Power BI - including data, model and report views as well as the filter functions. You will load several data sets in the data view to create a data model and your first report.

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Chapter 2: Data preparation and visualization

In the second chapter, you will learn the best practices of data visualization using practical exercises and how you can change and format visualizations. Power BI offers numerous visualizations that you can use in reports and dashboards. You will learn how to avoid typical mistakes and receive guidelines on how to prepare graphics in an understandable way. You will then learn how to use the Power Query Editor with Power BI Desktop for data processing and linking different data sources.

Chapter 3: Dashboards and data storytelling

In the third chapter, you will learn how to arrange your reports and analyses in dashboards and how to communicate them efficiently and easily to relevant target groups using the most important principles of data storytelling. You will also learn advanced BI skills. You will learn the basics of Data Analysis Expressions (DAX language). You will be provided with basic concepts and best practices for integrating DAX into your reports and learn how to write complex DAX code for calculations to generate columns, key figures and tables.</p

Chapter 4: Advanced topics

The fourth chapter focuses on fundamental concepts of statistics. We provide you with best practices for valid statistical data analysis. Finally, you will deal with advanced methods of business intelligence based on statistics and machine learning. At the end, you will be able to use drillthrough a cross-page drilldown and perform an influence factor analysis.

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2
Final exam
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In the final exam, you will apply your previous learning content and go through the entire process of data analysis - from importing and cleansing data to analysis and data storytelling. You will deepen your newly acquired BI skills by analyzing the unpunctuality of air traffic at a major hub using real data sets. You will use SQL and MS Power BI together to investigate and visualize flight delays at Los Angeles International Airport. You will then create a presentation of the results.

<p
In this training you will learn:
Power BI
DAX
Data Storytelling
  • What? You'll learn about the interface and basic functions of Power BI, prepare data using the Power Query Editor, design visualizations and dashboards, and calculate metrics using DAX and statistical methods.
  • What for? So you can support data-driven decision-making in your company with clear reports and interactive analyses.
  • Practice: You'll reinforce what you learn in each chapter through practical projects—four in total.

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.

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23.11.2026
23.11.2026 4–6 months Full-time
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23.11.2026
23.11.2026 9–11 months Part-time
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Data Analysis Data Analysis 3 variants
23.11.2026
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23.11.2026 14–17 months Part-time
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23.11.2026 10–12 months Full-time
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Data Science Data Science 3 variants
23.11.2026
23.11.2026 21–24 months Part-time
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23.11.2026
23.11.2026 6–7 months Full-time
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23.11.2026
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Data Analysis Data Analysis3 variants 09.11.26 +1 more
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Project Management Project Management2 variants 09.11.26 +1 more
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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:

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
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
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
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."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
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
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
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."
Michael
Participants
AI specialist
"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."
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
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."
Sandra Wilde
Participant
AI specialist
"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."
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
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."
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."
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
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
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."

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+8,500 graduates
93 % Completion rate
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FAQ

The Power BI training course will provide you with the most important basics for Power BI and the potential of data-driven decisions. With the best practices for the Power Query Editor and advanced use cases, you will create meaningful visualizations in MS Power BI, which you will prepare in target group-oriented dashboards using drag & drop and present in an easily understandable way with the help of data storytelling.

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. 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.
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.