You query relational databases using SQL, design your own database schemas, and write analytical queries using CTEs and window functions.
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.
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.
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.
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.
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.
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.
Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.
Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.
Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.
Our data experts are always in contact and offer support and motivation.
After completing the training program, you will receive our recognized certificate to prove your skills.
Our Career Service supports you with advice and coaching when you start your data job.
| Training programTraining | Date | Date/Duration | Model | |
|---|---|---|---|---|
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–12 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
4–5 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
9–10 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
7–9 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
14–17 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
10–12 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
21–24 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
6–7 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
12–13 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
4 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
8 months
Part-time
|
Part-time | Apply | |
| 16.11.2026 |
16.11.2026
4 months
Full-time
|
Full-time | Apply | |
| 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 | |
| 23.11.2026 |
23.11.2026
7–9 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
14–17 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
10–12 months
Full-time
|
Full-time | Apply | |
| 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 |
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:
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.
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.
Just a heads up: We offer training courses in Germany only. Looking for training in the UK? Check out Multiverse.
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