As a Data Scientist, you turn raw data into structured, actionable insights – using SQL, Python, and Microsoft Azure as your core tools. Cloud fundamentals, data analysis, and AI applications come together to build a well-rounded, practice-ready skill set.

The program connects foundational data knowledge with hands-on Data Science projects. Modern methods for structured data processing and analysis prepare you for data-driven roles across a range of industries.

modules

AI in Azure at a glance: machine learning, computer vision, and natural language processing – with a focus on evaluating and applying AI services in the cloud.

Certification: Microsoft Azure AI Fundamentals

Cloud concepts, key Azure services, and security aspects in a compact format: build a solid understanding of the structure and possibilities of Microsoft Azure.

Certification: Microsoft Azure Fundamentals

Data concepts and Azure data services explored: relational and non-relational data, modern data platforms – as a foundation for data engineering and data science work.

Certification: Microsoft Azure Data Fundamentals

Build and apply SQL query skills: efficient data analysis, processing, and evaluation in relational databases – from fundamentals to more advanced techniques.

Certification: New Horizons Certificate of Participation

Design and implement data science solutions in Azure: model training, deployment, and monitoring in the cloud – applied to real-world scenarios.

Certification: Microsoft Azure Data Scientist Associate

Develop skills in data integration, transformation, and analysis using Microsoft Fabric: build modern data pipelines and design data-driven architectures.

Certification: Microsoft Fabric Data Engineer Associate

Learn Python programming and apply it to data analysis: explore syntax, data structures, and first data science applications in a hands-on format.

Certifications:
Introduction to Python
Python for Data Science

  • EXIN® Agile Scrum Foundation: Agile working methods at a glance – Scrum roles, processes, and core principles in a concise format.
  • ITIL® 4 Foundation with exam: Solid introduction to IT service management based on recognized ITIL® best practices and standards.
  • PRINCE2® 7 Foundation with exam: Key methods, processes, and roles of structured project management according to PRINCE2® 7.
  • Big Data on AWS: Big data fundamentals and advanced topics, machine learning with Python, and the qualification path from Data Analyst to Data Scientist.

Start date: Flexible start possible at any time.
Duration: 6.25 months full-time; part-time with a correspondingly extended duration. Duration may vary depending on location.
Delivery: Live online lessons with a supervised learning phase and structured exam preparation.
Location: Location-independent participation – at the training center or from home.

Target group:
Anyone who wants to work with data, AI, and cloud technologies will benefit from this training – whether you’re starting out, changing careers, or developing further as an IT or analytics professional in Data Science and Azure.

Prerequisite:
Basic computer skills and a general technical understanding are required. Initial experience with data, spreadsheets, analysis, or programming is helpful but not essential. Basic English skills are recommended, as learning materials and certification exams are partly in English.

Funding:
Funding of up to 100% through the education voucher from the Employment Agency or Job Center is possible. Funding under the Qualification Opportunities Act is also available for employees and companies.

We are AZAV certified:
As an AZAV-certified provider, our training programs are practical, labor market-oriented, and aligned with current requirements in data science, cloud, and AI. The modular structure enables flexible, sustainable qualification for data-driven professions.
 

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.