Online: Data Engineering for Practical Applications

Der Kurs wird in Englisch durchgeführt. A practice-oriented course designed for beginners, professionals, and career switchers who want to understand how data is collected, processed, and prepared behind the scenes - even if they have never worked with data pipelines or engineering tools before. This course introduces participants to data engineering as a professional role. Instead of focusing on specific tools or complex infrastructure, learners first understand why data engineering is needed and how data flows through real organizations. The emphasis is on thinking like a data engineer: structuring data, ensuring reliability, and enabling analytics and AI. Participants work with realistic scenarios that mirror real workplace situations. Concepts such as data pipelines, storage systems, automation, and data quality are introduced step by step. We maintain the context of solving concrete problems. The course builds strong foundations from A to Z - starting with where data comes from, how it is processed and stored, and how it becomes usable for analysts, data scientists, and business teams. Learning is hands-on and concept-driven, focusing on clarity rather than complexity. No prior programming or data engineering experience is required. By the end of the course, participants will understand how modern data systems work and how data engineering supports real business and analytical use cases. What You’ll Learn: - The role and responsibilities of a Data Engineer - How data pipelines work from source to destination - Core concepts of data processing, storage, and integration - How data quality, reliability, and automation are ensured - How data engineering supports analytics, reporting, and AI Requirements: - Basic computer literacy - Laptop with internet access Infos zum Kursleiter