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  • TRAINING

SQL & Relational Databases – Backend Developer.

You'll query relational databases using SQL, design your own database schemas, and learn how databases interact with web applications and how to optimize queries for performance.

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
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In this training you will learn:

SQL
Database design
Backend & Performance
  • What? You'll write queries using filters, groupings, joins, and subqueries; learn about normalization and database design; and discover how databases are used in backend web development and how to optimize queries.
  • What for? So you can efficiently retrieve data from databases and design databases for applications in a structured way.
  • Practice: You will work on four practical projects and, as part of your final project, independently analyze an unknown database.
Download Curriculum
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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.

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 the previous learning content and filter the data using Boolean logic.

<p

Chapter 2: In-depth SQL

In the second chapter, you will refine both your theoretical and practical knowledge. You will learn how to group and sort data with your queries and connect it with different joins. You will also get to know 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.

In order to put your knowledge into practice, you will learn how to create or modify 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

In a final project, you will independently analyze an unknown database from exploration to complex queries and consolidate all the SQL techniques you have learned. 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.

<p

Option 1: Focus on analytics
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 ranked lists or calculate running totals over longer periods of time.</p

Option 2: Focus on backend (Python Programmer training program)
You will learn how databases interact with web applications and what role SQL plays in web development. You will also gain in-depth knowledge about optimizing the performance of SQL queries.</p

This training is part of the training programs:
In this training you will learn:
SQL
Database design
Backend & Performance
  • What? You'll write queries using filters, groupings, joins, and subqueries; learn about normalization and database design; and discover how databases are used in backend web development and how to optimize queries.
  • What for? So you can efficiently retrieve data from databases and design databases for applications in a structured way.
  • Practice: You will work on four practical projects and, as part of your final project, independently analyze an unknown database.
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.

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 41 weeks Full-time
Full-time Apply
09.11.2026
09.11.2026 82 weeks Part-time
Part-time Apply
23.11.2026
23.11.2026 41 weeks Full-time
Full-time Apply
23.11.2026
23.11.2026 82 weeks Part-time
Part-time Apply
The next
start dates.
Training
Start dates
Data Engineering 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
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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:

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

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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.
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