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.

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
Abschluss · 1–4 Jahre

Duke University
Kompetenzen, die Sie erwerben: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Scripting, File Systems, Command-Line Interface, Remote Access Systems, Data Manipulation, Data Processing, Data Management, Development Environment
★ 4.5 (135) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Engineering, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Integration, Data Warehousing, Software Engineering Tools, Data Import/Export, Stored Procedure, Data Sharing, SQL, Data Analysis, GitHub, Microsoft Visual Studio, Command-Line Interface, Application Deployment
★ 4.7 (142) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Database Administration, Data Warehousing, SQL, Data Pipelines, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, IBM Cognos Analytics, Apache Kafka, Bash (Scripting Language), Apache Airflow, Shell Script, IBM DB2, Extract, Transform, Load, Data Transformation, Data Visualization, Database Software, Data Store
★ 4.7 (6877) · Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Scripting Languages, Data Manipulation, Data Structures, Operational Databases, Query Languages, Data Store, Database Management, Data Import/Export, Data Capture, Spatial Analysis, Spatial Data Analysis, Python Programming
★ 4.4 (111) · Mittel · Kurs · 1–4 Wochen

LearnKartS
Kompetenzen, die Sie erwerben: Amazon S3, Amazon Web Services, SQL, Extract, Transform, Load, Data Quality, Cloud Engineering, Data Pipelines, Version Control, Data Modeling, Data Storage, Cloud Storage, Git (Version Control System), Data Management, Query Languages, Data Storage Technologies, AWS Identity and Access Management (IAM), Data Security, Big Data, Software Versioning, Encryption
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MongoDB, Data Transformation, Customer Analysis, Customer Insights, Back-End Web Development, Customer Data Management, Data Processing, NoSQL, Database Development, Data Maintenance, Document Management, Pandas (Python Package), Database Design, Data Validation, Extract, Transform, Load, Database Management, Databases, Data Pipelines, Data Access, Query Languages
★ 4.6 (72) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Engineering, Database Management, Databases, Data Pipelines, Continuous Deployment, Devops Tools, Change Control, DevOps, CI/CD, Command-Line Interface, Version Control, Event Monitoring, Continuous Monitoring, Data Analysis
★ 4.6 (27) · Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud Engineering, Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Cloud Infrastructure, Data Modeling, Database Design, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
★ 4.4 (98) · Mittel · Spezialisierung · 1–3 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