Professional training – Databases
SQL for Data Analysis
Hands-on SQL for Data Analysis course: you work on Metrics with aggregation, Time series & cohorts and Pivoting and take away knowledge you can apply right away.
- Duration
- 6 hours, one session
- Level
- Intermediate
- Format
- Online or on-site
- Language
- German or English
- Certificate
- Certificate of attendance
Overview
In “SQL for Data Analysis” we combine fundamentals and practice: you get to know Metrics with aggregation, Time series & cohorts and Pivoting, apply what you learn in exercises and receive templates and checklists for your own use.
Databases hold the data that business processes depend on. Whether relational systems such as SQL Server and PostgreSQL or NoSQL solutions such as MongoDB, Redis and Neo4j, those who design them cleanly, query them efficiently and run them reliably avoid costly outages and bottlenecks. Our courses give developers, analysts and administrators exactly the knowledge they need in daily work. Each course lasts one day, takes place online or on site, and is built around exercises in a provided database environment with realistic sample data, so you can apply what you learn immediately.
The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.
Focus areas of the course
Who is this course for?
- Database administrators and system engineers
- Software developers and backend teams
- Data analysts and BI staff
- IT architects and technical project leads
What you will be able to do
- You know the key topics of SQL for Data Analysis – Metrics with aggregation, Time series & cohorts, Pivoting, Window functions for rankings, Checking data quality and Preparing results for BI tools – and can apply them in practice.
- You explain the concepts of SQL for Data Analysis and choose suitable structures.
- You write queries and changes confidently and traceably.
- You identify performance problems and derive targeted measures.
- You protect data and plan backup and recovery for SQL for Data Analysis.
Course outline
Module 1 Fundamentals and architecture of SQL for Data Analysis
- Positioning SQL for Data Analysis and typical use cases
- Data model, storage and architectural building blocks
- Installation, tools and first connection
- Differences from related database systems
Module 2 Focus areas: SQL for Data Analysis
- Metrics with aggregation
- Time series & cohorts
- Pivoting
- Window functions for rankings
- Checking data quality
- Preparing results for BI tools
Module 3 Hands-on: creating, querying and changing data
- Defining structures and data types sensibly
- Writing queries and verifying results
- Changing data, transactions and consistency
- Recognizing and avoiding typical sources of error
Module 4 Performance, security and operations
- Reading and evaluating indexes and execution plans
- Assigning users, roles and permissions
- Backup, restore and high availability
- Monitoring and everyday maintenance tasks
Module 5 Use in projects and transfer
- Making design decisions for your own project
- Connecting applications and interfaces
- Do's and don'ts from project practice with SQL for Data Analysis
- Further topics and learning paths
Module 6 Transfer to your daily work
- Exercise based on a realistic case
- Typical mistakes and how to avoid them
- Checklist and templates to take away
- Open questions, outlook and resources for further learning
Prerequisites
General IT understanding is enough for introductory courses. For advanced and administration courses we expect SQL basics or experience with the respective system. Basic knowledge of the topic is helpful.
Technical requirements
Laptop with a current browser; we provide the database environment with sample data and client tools.
Dates & locations
For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.
- Munich Tue, 15 December 2026 6 hrs Request
- Salzburg Fri, 11 December 2026 6 hrs Request
- Berlin Thu, 10 December 2026 6 hrs Request
- Augsburg Wed, 16 December 2026 6 hrs Request
- Hanover Wed, 16 December 2026 6 hrs Request
- Bremen Tue, 15 December 2026 6 hrs Request
- Stuttgart Thu, 10 December 2026 6 hrs Request
- Kaiserslautern Thu, 10 December 2026 6 hrs Request
- Online Mon, 14 December 2026 6 hrs Request
Frequently asked questions
Do we work with real data in SQL for Data Analysis?
We use realistic, fully synthetic sample data, so you can practice close to real life without data protection risks. For group bookings we can add case studies from your industry, without needing any access to your production data.
Which role is SQL for Data Analysis suited for?
Depending on its focus, for developers, administrators or analysts. The focus topics show whether the course leans towards queries and design or towards operations and security. If you are unsure, we advise you beforehand on the right starting level.
How much does “SQL for Data Analysis” cost?
The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.
Can I suggest my own date?
Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.
Is the course online or on-site?
Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.
Can the course be tailored to our team?
Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.