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: MySQL, Database Software, Database Management, Database Theory, Data Warehousing, Interactive Data Visualization, Dashboard, Database Administration, Data Visualization Software, Star Schema, Dashboard Creation, Linux Commands, Unix, Data Integrity, Unit Testing, Algorithms, Analytics, Database Architecture and Administration, Software Versioning, Command-Line Interface
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: AWS Kinesis, Data Engineering, Amazon Redshift, Amazon Web Services, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Cloud Engineering, Cloud Management, Interactive Data Visualization, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, AWS Identity and Access Management (IAM)
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Apache Airflow, Data Warehousing, Data Flow Diagrams (DFDs), Data Pipelines, Diagram Design, Data Integration, Data Lakes, Performance Tuning, Data Governance, Cloud Deployment, Data Management, Data Modeling, Data Mapping, Extract, Transform, Load, Trend Analysis, Service Level Agreement, Systems Integration, SQL, Apache Kafka, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Warehousing, Star Schema, Data Modeling, Database Design, Extract, Transform, Load, Database Development, Data Integration, Data Infrastructure, Database Architecture and Administration, Database Software, Relational Databases, Database Management, Business Intelligence, Database Theory, Performance Tuning, PostgreSQL, SQL
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AWS Kinesis, AWS SageMaker, AWS CloudFormation, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, Software Development Tools, Data Security, Data Import/Export, Database Systems, Databases, Version Control, Apache Spark, Apache Airflow, Data Modeling, Cloud Security, Database Management Systems, AWS Identity and Access Management (IAM), Data Processing
Anfänger · Spezialisierung · 1–3 Monate

Duke University
Kompetenzen, die Sie erwerben: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Data Quality, Convolutional Neural Networks
Mittel · Kurs · 1–4 Wochen

KodeKloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Anfänger · Kurs · 1–4 Wochen

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

Kompetenzen, die Sie erwerben: Dashboard Creation, Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Cloud Engineering, Data Architecture, Data Governance, Apache Kafka, Data Warehousing
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Dashboard, Conversion Funnel Analysis, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Microsoft Development Tools, Data Analysis Software, Package and Software Management, Virtual Environment
Anfänger · Kurs · 1–4 Wochen