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Certificate Badge Symbol for award and quality seal.

SQL & Relational Databases.

You query relational databases using SQL, design your own database schemas, and write analytical queries using CTEs and window functions.

Full/Part time
4 weeks (full-time)
Beginner-friendly
German
SQL Relation Databases Training

What is SQL ?

SQL (Structured Query Language) is the standard language for querying and managing data in relational databases. You use it to efficiently analyze, filter and structure large amounts of data - an essential skill for data-driven tasks.

Who is SQL training suitable for?

For anyone who wants to use SQL to query and analyze data from relational databases. The use of SQL is a sought-after skill for the future that opens up new perspectives in the data-driven job market and is relevant for a variety of tools and processes.

For which professional groups is the training relevant?

Relevant for anyone who works with data or wants to control data-based processes in the future - especially in business, technology, administration and research.

  • Analyze data with SQL and create reports as a BI Analyst
  • Perform complex data queries as a Reporting Specialist
  • Performing financial database analyses as a controller
  • Checking data bases as a project manager with SQL

In this training you will learn:

SQL
Database design
CTEs & Window Functions
  • What? You'll write queries using filters, groupings, joins, and subqueries; learn about normalization and database design; and use CTEs and analytical functions to generate metrics and rankings.
  • What for? So that you can independently retrieve data from databases, aggregate it, and make it available throughout the company.
  • Practice: You will work on four practical projects and, as part of your final project, independently analyze an unknown database.
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

In the first chapter, you'll get started with the topic of databases. You'll learn what databases are, where they're used, and why. You’ll understand how relational databases are structured and learn about their advantages and disadvantages.

You’ll learn to write SQL queries to read relational databases and extract business-relevant information. In the first hands-on project, you’ll apply what you’ve learned so far and filter the data using Boolean logic.

Chapter 2: Advanced SQL

In the second chapter, you’ll refine both your theoretical and practical knowledge. You’ll learn to use your queries to group, sort, and combine data using various joins. You’ll also learn about subqueries, which open up new filtering possibilities. In the second hands-on project, you’ll have the chance to reinforce everything you’ve learned.

Chapter 3: Advanced Database Design

In the third chapter, you’ll focus on the structure of relational databases. To better understand their structure, you’ll dive into database design yourself and learn about the normalization rules.

So you can put your knowledge into practice, you’ll learn how to create or modify tables and data. In the third interim project, you’ll design a database yourself and implement your design in practice.

Chapter 4: SQL in Practice

In a final project, you’ll independently analyze an unknown database—from exploration to complex queries—and solidify all the SQL techniques you’ve learned. You’ll also gain an overview of how to use SQL in practice after the training and which tools are available to you for this purpose.

Option 1: Focus on Analytics
You’ll learn how to use Common Table Expressions (CTEs) to maintain an overview even with complex queries. You’ll also build in-depth knowledge of analytical functions to create rankings or calculate running totals over extended periods.

Option 2: Focus on Backend (Python Programmer Training Program)
You’ll learn how databases interact with web applications and what role SQL plays in web development. You’ll also gain in-depth knowledge about optimizing the performance of SQL queries.

In this training you will learn:
SQL
Database design
CTEs & Window Functions
  • What? You'll write queries using filters, groupings, joins, and subqueries; learn about normalization and database design; and use CTEs and analytical functions to generate metrics and rankings.
  • What for? So that you can independently retrieve data from databases, aggregate it, and make it available throughout the company.
  • Practice: You will work on four practical projects and, as part of your final project, independently analyze an unknown database.

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
09.11.2026
09.11.2026 5–6 months Full-time
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09.11.2026
09.11.2026 10–12 months Part-time
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09.11.2026
09.11.2026 5–6 months Full-time
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09.11.2026
09.11.2026 10–11 months Part-time
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09.11.2026
09.11.2026 4–5 months Full-time
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09.11.2026
09.11.2026 9–10 months Part-time
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09.11.2026
09.11.2026 5–6 months Full-time
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09.11.2026
09.11.2026 10–11 months Part-time
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Data Analysis Data Analysis 3 variants
09.11.2026
09.11.2026 7–9 months Full-time
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Data Analysis Data Analysis 3 variants
09.11.2026
09.11.2026 14–17 months Part-time
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Data Science Data Science 3 variants
09.11.2026
09.11.2026 10–12 months Full-time
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Data Science Data Science 3 variants
09.11.2026
09.11.2026 21–24 months Part-time
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09.11.2026
09.11.2026 6–7 months Full-time
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09.11.2026
09.11.2026 12–13 months Part-time
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09.11.2026
09.11.2026 4 months Full-time
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09.11.2026
09.11.2026 8 months Part-time
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16.11.2026
16.11.2026 4 months Full-time
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16.11.2026
16.11.2026 8 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–12 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
23.11.2026
23.11.2026 4–5 months Full-time
Full-time Apply
23.11.2026
23.11.2026 9–10 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
Data Analysis Data Analysis 3 variants
23.11.2026
23.11.2026 7–9 months Full-time
Full-time Apply
Data Analysis Data Analysis 3 variants
23.11.2026
23.11.2026 14–17 months Part-time
Part-time Apply
Data Science Data Science 3 variants
23.11.2026
23.11.2026 10–12 months Full-time
Full-time Apply
Data Science Data Science 3 variants
23.11.2026
23.11.2026 21–24 months Part-time
Part-time Apply
23.11.2026
23.11.2026 6–7 months Full-time
Full-time Apply
23.11.2026
23.11.2026 12–13 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
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BI Analyst – Change Management BI Analyst – Change ManagementBusiness Intelligence 09.11.26 +1 more
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BI Analyst – Strategic AI Management BI Analyst – Strategic AI ManagementBusiness Intelligence 09.11.26 +1 more
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Data Analysis Data Analysis3 variants 09.11.26 +1 more
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    • Full-time - 7–9 months
    • Part-time - 14–17 months
  • 23.11.2026
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    • Part-time - 14–17 months
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Data Science Data Science3 variants 09.11.26 +1 more
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    • 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 Project Management2 variants 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
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    • Full-time - 6–7 months
    • Part-time - 12–13 months
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Python Programmer Python Programmer 09.11.26 +1 more
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    • Full-time - 4 months
    • Part-time - 8 months
  • 16.11.2026
    • Full-time - 4 months
    • Part-time - 8 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:

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

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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+8,500 graduates
93 % Completion rate
AZAV-certified

FAQ

In the certified SQL & Relation Database Training you will learn how to work with relational databases and how to write effective SQL queries to collect important company data.

Advanced techniques such as data grouping, sorting and more complex joins will refine your analysis skills. You will also acquire skills in database design, including table normalization and modification.

The training concludes with a practical project in which you will either learn in-depth knowledge about analysis functions in SQL or acquire skills in optimizing SQL queries and their role in web development.

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.