Structured Query Language
SQL—short for Structured Query Language—is the standard language used to retrieve, modify, and analyze data in a database. It is used in virtually every sector that works with data, from healthcare to marketing. But SQL also plays an essential role in the field of geoinformation.
In applications involving geospatial data—such as map layers, GPS
measurements, or satellite imagery—the datasets are often large and complex. This information is typically stored in databases like PostgreSQL, often with an extension like PostGIS to support spatial data. With SQL, you can query this data quickly and efficiently. For example, you can determine how many objects fall within a specific area, or filter locations within a 500-meter radius.
That is why SQL is the essential skill for anyone who works with data professionally—whether in geoinformation, IT, data analysis, or GIS. Without SQL, it is difficult to gain insights from large amounts of data. With SQL, you have control over your data and can perform smart analyses that are immediately valuable in practice.
What will you learn in this Blended Learning course?
In the SQL Basics course, you’ll discover in an accessible way how to work with SQL in a professional, data-driven environment. The training is specifically designed for beginners. So you can get started right away, even without prior technical knowledge.
You’ll start by understanding the basics of relational databases: how tables, columns, and rows work together and how a database is logically structured. Next, you’ll learn how to write and execute SQL queries using common commands such as SELECT, INSERT, UPDATE, and DELETE. You’ll discover how to filter, sort, and group data with instructions like WHERE, ORDER BY, and GROUP BY. This ensures you always get exactly the information you’re looking for.
Next, you’ll learn how to link data from multiple tables using JOINs. This enables you to establish connections between different datasets. You’ll also gain insight into how to manage a database’s structure: you’ll create new tables, modify existing fields, and ensure a clear and efficient layout.
Finally, you’ll apply SQL in environments that work with geospatial data, such as PostgreSQL in combination with PostGIS. Thanks to the blended learning approach—a regular alternation of online modules and interactive sessions—you’ll practice with practical assignments that directly relate to your field of work.
Why choose this SQL Basics course?
Blended learning combines independent online learning with practical, interactive sessions, allowing you to gain both theoretical knowledge and practical experience with SQL and relational databases. This learning format offers you the best of both worlds: flexibility and immediate applicability. In the online modules, you’ll learn at your own pace how SQL works, from the basics to more advanced applications. You’ll discover how to analyze datasets, how to build queries using commands like SELECT, JOIN, and GROUP BY, and how to use SQL within systems with geospatial data such as PostgreSQL and PostGIS.
During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work on realistic data assignments, using current data sources such as geodata. Under the guidance of experienced data specialists, you’ll practice writing efficient queries, combining tables, and structuring databases for better performance. This allows you to immediately experience how SQL helps you make data transparent and use it in decision-making.
The combination of flexible online learning and hands-on training ensures that you not only learn how to work with SQL, but also how to use it effectively in realistic data projects. Upon completing the course, you’ll be able to independently retrieve, modify, and structure data. This will enable you to generate insights faster, make better decisions, and extract more value from the data you work with—whether in geoinformation, IT, or data analysis.
Prefer to learn in a classroom setting? Then check out our monthly group course:
SQL Basics Course.