Full-Stack Developer & Data Engineer (m/f/d)

Course overview

The Full-Stack Developer & Data Engineer combines web development with big data expertise. They develop scalable applications and implement data infrastructures for predictive analytics. Their core tasks include programming web applications, managing digital data, and integrating security concepts. They optimize data flows, implement machine learning algorithms, and create visualizations for decision-making processes. The specialist works at the interface between frontend and backend, develops APIs, and ensures efficient data processing while adhering to current data protection regulations. Predictive Analytics & Algorithms - Forecast models and data-driven decisions with Big Data • Data-driven predictions for companies - Understanding and applying forecast models • Data management for predictive analytics - Preparing and making data sources usable • Selecting algorithms specifically for forecasts - Practically applying statistics & machine learning • Developing practical forecast models - Use cases for production, marketing, finance • Mastering the toolset for data-driven predictions - Utilizing analysis platforms & automation • Successfully training & testing models - Securing performance and generalizability • Translating forecasts into action - Real-time insights & decision dashboards • Minimizing risks of data-driven models - Bias, explainability & GDPR in practice • Operating predictions efficiently and sustainably - Model maintenance & evaluating ROI Web Development & Frameworks - Modern approaches for dynamic web applications • Web app architectures & RESTful API integration • Modern UI frameworks & accessible components according to WCAG 2.2 • Backend structures & API routing with OWASP standards • Data modeling & ESG-compliant storage solutions • CI/CD pipelines & container orchestration • Performance optimization & sustainable hosting • State management & internationalization • Monitoring, security & future trends in web development Data-Driven Digitalization - Sustainable and efficient handling of information • Strategic data value creation and architecture in the company • Process optimization and cost reduction through digital data management • Ecologically responsible data management • Data quality and governance - Standards, roles, responsibilities • Technology platforms and tools for modern data management • Cybersecurity and data protection in the data ecosystem • KPI-based data controlling and performance monitoring • Scaling strategies and barriers in digital data management • Future technologies and data-driven innovation models Computer Science-Based Big Data Analysis & Data Science - Technologies, Security, Applications • Data-driven organizations and business models • Data competence • AI competence • Big Data technologies and architecture • Data visualization and dashboard creation • Governance - Data protection and cybersecurity • Ethics and interdisciplinary collaboration in data science • Big Data project planning and…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning