Data-Engineering-Kurse können Ihnen helfen zu lernen, wie Datenpipelines aufgebaut, Systeme integriert und Daten effizient verarbeitet werden. Sie können Fähigkeiten in ETL-Prozessen, Datenmodellierung, Orchestrierung und Umgang mit großen Datenmengen aufbauen. Viele Kurse stellen Tools und Plattformen für moderne Dateninfrastrukturen vor.

Kompetenzen, die Sie erwerben: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
Mittel · Spezialisierung · 3–6 Monate
Kompetenzen, die Sie erwerben: Dashboard Creation, Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Cloud Engineering, Data Store, Data Architecture, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Cloud Solutions, Process Optimization, Data Modeling, System Monitoring
Mittel · Kurs · 1–4 Wochen
Starweaver
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Vector Databases, AI Personalization, Data Engineering, Context Engineering, AI Orchestration, System Monitoring, Generative AI, Data Processing, AI Workflows, Extract, Transform, Load, Scalability, Large Language Modeling, Data Architecture, Data Pipelines, Embeddings, Continuous Monitoring, Talent Pipelining, Process Optimization, Engineering
Mittel · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Data Architecture, Real Time Data, Data Lakes, Capacity Management, Data Pipelines, PySpark, Transact-SQL, Apache Spark, Data Transformation, Data Security, Event Monitoring, Microsoft Copilot, Continuous Monitoring, Data Analysis, Workflow Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Warehouse Operations, Warehouse Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Dataflow, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Service Level, Enterprise Security
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Data Pipelines, Data Modeling, Data Transformation, SQL
Anfänger · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Data Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning
Mittel · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Data Governance, Database Design, Operational Data Store, Data Management, SQL, Relational Databases, Query Languages, Data Mining, Data Quality, Data Analysis
Gemischt · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Claude Code, Infrastructure as Code (IaC), CI/CD, Bash (Scripting Language), PostgreSQL, Redis, Google Cloud Platform, Ubuntu, Agile Project Management, Continuous Integration, Prometheus (Software), Object Oriented Design, Data Pipelines, Linux Commands, SQL, Web Development Tools, Extract, Transform, Load, Amazon S3, Computational Logic, Software Development
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Star Schema, Data Infrastructure, Data Governance, Data Modeling, Data Strategy, Data Architecture, Data Migration, Database Design, Correlation Analysis, Stored Procedure, Data Pipelines, Data Lakes, Infrastructure as Code (IaC), Data Validation, Disaster Recovery, Role-Based Access Control (RBAC), Compliance Auditing, CI/CD, Resource Management, Performance Management
Fortgeschritten · Spezialisierung · 3–6 Monate