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Certificate Badge Symbol for award and quality seal.

BI Analytics.

Learn self-service BI and use SQL, Power BI and data storytelling to decipher and visualize data and prepare KPIs in a smart way.

Part time
8 weeks (VZ)
Beginner-friendly
Available in German & English
Modern data visualization and management on an isometric dashboard.

What is BI Analytics?

BI Analytics refers to the targeted analysis and evaluation of company data using modern tools such as SQL and Power BI. This enables data-based decisions, well-founded reporting and meaningful dashboards.

Who is Business Intelligence training suitable for?

Ideal for people who want to increase their chances on the job market with SQL and Power BI skills. The training teaches comprehensive skills in both tools in a practical way, opening up new career paths.

For which professional groups is the training relevant?

Relevant for anyone who wants to work with data in business, research or administration - especially in analytical, management or controlling roles, e.g:

  • Developing business reports with Power BI as a BI Analyst
  • Automate data evaluations as a Reporting Specialist
  • Analyzing KPIs and dashboards as a controller
  • Monitor and present project data as a project manager

In this training you will learn:

SQL Queries
Power BI
Data Storytelling
  • Use basic and advanced SQL queries to generate data overviews
  • Use advanced SQL knowledge such as views, CTEs, subqueries and window functions
  • Using the basics of business intelligence and basic functions of Power BI
  • Use best practices for data visualization and processing in Power BI
  • Apply best practices for data storytelling
  • Working with the basics of KPI calculation with DAX language
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
SQL & Relational Databases
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Chapter 1: Introduction to relational databases

The first chapter introduces you to the topic of databases. You will learn what databases are and where they are used and why. You will understand how relational databases are structured and know their advantages and disadvantages.

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You will learn how to independently write SQL queries to read relational databases and extract company-relevant information. In the first practical project, you will apply what you have learned so far and filter the data using Boolean logic.

Chapter 2: Deepening SQL

In the second chapter, you will refine both your theoretical and practical knowledge. You will learn how to group, sort and combine data with different joins using your queries. You will also learn about subqueries, which open up new filter options. You can consolidate everything again in the second practical project.

Chapter 3: In-depth database design

In the third chapter, you will focus on the structure of relational databases. To better understand their structure, you will dive into database design yourself and learn about the normalization rules. So that you can put your knowledge into practice, you will learn how to create or change tables and data. In the third intermediate project, you will design a database yourself and put your design into practice.

Chapter 4: SQL in practice

The final chapter focuses on the final exam. You will analyze a completely new database independently - from the first exploration to the last query. To do this, we teach you two other important concepts that often arise in everyday work with SQL:

You will learn how to use Common Table Expressions (CTEs) to keep track of even complex queries. You will also build up in-depth knowledge of analytical functions to create ranking lists or running totals over longer periods of time. In addition, you will get an overview of how you can use SQL in practice after the training and which tools are available to you for this purpose.</p

2
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.

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 the help of 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.

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.

3
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

This training is part of the training programs:

In this training you will learn:

SQL Queries
Power BI
Data Storytelling
  • Use basic and advanced SQL queries to generate data overviews
  • Use advanced SQL knowledge such as views, CTEs, subqueries and window functions
  • Using the basics of business intelligence and basic functions of Power BI
  • Use best practices for data visualization and processing in Power BI
  • Apply best practices for data storytelling
  • Working with the basics of KPI calculation with DAX language

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
16.03.2026
16.03.2026 6 months Full-time
Full-time Apply
16.03.2026
16.03.2026 12 months Part-time
Part-time Apply
16.03.2026
16.03.2026 8 months Full-time
Full-time Apply
16.03.2026
16.03.2026 16 months Part-time
Part-time Apply
23.03.2026
23.03.2026 6 months Full-time
Full-time Apply
23.03.2026
23.03.2026 12 months Part-time
Part-time Apply
23.03.2026
23.03.2026 8 months Full-time
Full-time Apply
23.03.2026
23.03.2026 16 months Part-time
Part-time Apply
The next
start dates.
Training
Starttermine
Data Analyst Data Analyst 16.03.26 +1 more
  • 16.03.2026
    • Full-time - 6 months
    • Part-time - 12 months
  • 23.03.2026
    • Full-time - 6 months
    • Part-time - 12 months
Apply
Data Scientist Data Scientist 16.03.26 +1 more
  • 16.03.2026
    • Full-time - 8 months
    • Part-time - 16 months
  • 23.03.2026
    • Full-time - 8 months
    • Part-time - 16 months
Apply

What our graduates say.

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

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
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
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
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
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
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
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

Get personal advice now.

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.

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+8,000 graduates
93 % Completion rate
AZAV-certified

FAQ

In the certified BI Analytics training course, you will learn the basics of (self-service) business intelligence. You will build up practice-oriented expert knowledge of SQL and relational databases and learn how to work competently with relational databases and avoid common mistakes using SQL best practices. You will learn the most important basics of Microsoft Power BI and practise gaining logical insights from various data sources and preparing them in a visually appealing way.

You will learn how to merge and clean data with PowerQuery in order to create meaningful visualizations. You will practise preparing these in target group-oriented dashboards and learn how to present them in an easily understandable way using data storytelling. You will finish the BI Analytics training with a practical final exam on flight delays at Los Angeles International Airport. By successfully completing the training, you will acquire the most relevant skills to be successful as a BI Analyst, Business Analyst, Reporting Analyst or analytical (junior) roles in specialist departments.

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.