SQL Basics for Data Analysts and Database Administrators

Course overview

Meta-Description: Learn SQL from the ground up and develop practical database skills for analysis, administration, and reporting - ideal for Data Analysts and Administrators. Course Description The course *SQL Basics for Data Analysts and Database Administrators* conveys the essential concepts and tools for working with relational databases. You will learn how to efficiently structure, query, and analyze data. Through practical exercises, you will discover how to prepare, manage, and optimize data with SQL - an essential foundation for Data Analysts, BI specialists, and Database Administrators. The course is aimed at IT beginners, aspiring Data Analysts, and database managers who want to acquire or deepen basic SQL knowledge for professional applications. No prior knowledge is required. Level: Beginner to Advanced Recommended Prerequisites: Introduction to Python (optional) --- Module 1: Introduction to Relational Databases and SQL You will learn the basic structure of relational databases and how SQL is used to create, query, and manage data. Through practical examples, you will build your first tables and perform simple queries. Topics: *Database fundamentals and Entity-Relationship models *Introduction to SQL: SELECT, FROM, WHERE *Filtering, sorting, and grouping data *Working with aggregate functions (SUM, COUNT, AVG) --- Module 2: Data Manipulation, Joins, and Normalization This module covers advanced querying techniques and shows how to link tables and maintain data consistency. You will learn to avoid redundant structures and model data efficiently. Topics: *INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN *Data modifications with INSERT, UPDATE, and DELETE *Normal forms and data integrity *Working with foreign keys --- Module 3: SQL for Data Analysts and Administrators In this module, you will learn to use SQL queries specifically for data analysis and management. You will perform complex analyses, work with views, and learn optimization strategies to keep databases performant. Topics: *Subqueries and nested queries *Creating and using views *Performance tuning and indexing *User and rights management --- Similar Courses Python for Data Science AWS Certified Database - Specialty Advanced Programming Techniques with Python --- The course is **AZAV-certified** and can be funded through educational vouchers or QCG. Conducted by **New Horizons (Munich, Stuttgart, Nuremberg)** and **learn2program.de**. Suitable for individuals and companies. --- Conclusion: After completing this course, you will be able to use SQL professionally for analysis, reporting, and administration. You can structure databases, create queries, and evaluate information purposefully - the foundation for data-driven decisions in any company. All courses can be taken online throughout Germany. Many of our courses are offered in German and/or English.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-08-19T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-19T22:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · München · Combined Learning