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: Data Lakes, Data Pipelines, Data Integration, Apache Airflow, Performance Tuning, Data Security, Data Architecture, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Cloud Computing, Data Governance
Mittel · Spezialisierung · 3–6 Monate

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

Kompetenzen, die Sie erwerben: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Mittel · Spezialisierung · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Data Migration, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Import/Export, Data Processing, Data Store, Apache Airflow, Data Lakes, Data Infrastructure, Data Storage, Apache Spark, Data Warehousing, Cloud Storage, IT Automation, Data Transformation, Serverless Computing, Automation, Event-Driven Programming
Anfänger · Kurs · 1–3 Monate

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

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

Kompetenzen, die Sie erwerben: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Test Tools, Anomaly Detection, AI Integrations, CI/CD, Python Programming, Reliability, Performance Tuning, Memory Management
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Validation, Data Integrity, Data Maintenance, Data Transformation, Data Quality, Data Warehousing, Extract, Transform, Load, Reconciliation, Code Reusability
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Model Deployment, Dataflow, Data Pipelines, Data Import/Export, Data Lakes, Feature Engineering, Data Governance, Real Time Data, Dashboard Creation, Cloud Engineering, Unstructured Data, Tensorflow, Apache Kafka, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Big Data, Data Migration
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Correlation Analysis, Data Pipelines, Dashboard, Dashboard Creation, Analytics, SQL, Business Analytics, Data Infrastructure, Data-Driven Decision-Making, Warehousing, Analysis, Capacity Management, Data Warehousing, Performance Analysis, Performance Metric, Scalability, Performance Measurement, Return On Investment, Interactive Data Visualization, Descriptive Statistics
Fortgeschritten · Kurs · 1–4 Wochen

LearnKartS
Kompetenzen, die Sie erwerben: Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Docker (Software), Data Import/Export, Database Systems, Databases, Cloud Engineering, Database Management Systems, Kubernetes, AWS Identity and Access Management (IAM), Data Infrastructure, Operational Databases, Amazon Elastic Compute Cloud, Database Management, Performance Tuning, Security Controls, Cloud Security
Mittel · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Text Mining, Database Design, Data Governance, Interactive Data Visualization, Data Presentation, Plotly, Classification Algorithms, Data Visualization, Database Theory, Database Systems, Exploratory Data Analysis, Data Mining, Database Management, Statistical Visualization, Data Visualization Software, Matplotlib, Time Series Analysis and Forecasting, Data Wrangling, Correlation Analysis
Credits angeboten
Abschlusszertifikat · 6–12 Monate