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Learn SQL and understand relational databases: database design, normalizations, efficient SQL queries and techniques such as joins, subqueries, CTEs and window functions for analyses and reports.
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 will get to grips with 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.
<pIn 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 learn about subqueries, which open up new filter options. You can consolidate everything again in the second practical project.
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.
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.
<pOption 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
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 full or part-time, you can train in the way that works best for you.
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.
Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:
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.
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.
