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.

LearnKartS
Kompetenzen, die Sie erwerben: Apache Kafka, Dataflow, Live Streaming, Performance Metric, Event-Driven Programming, Transaction Processing, Scala Programming, Data Security, Event Monitoring, Network Troubleshooting, Network Architecture
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Database Architecture and Administration, Data Maintenance, Operational Databases, Relational Databases, Capacity Planning, Database Management, Capacity Management, Data Integrity, Disaster Recovery, Data Validation, Performance Tuning, Problem Management, Demand Planning, Data Access, Forecasting, Resource Planning, Performance Analysis, Time Series Analysis and Forecasting
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Azure Active Directory, Microsoft Azure, Data Lakes, Platform As A Service (PaaS), Cloud Computing, Data Integration, Relational Databases, AI Personalization, Cloud Applications, Cloud Development, Power BI, Performance Tuning, Microsoft Visual Studio, Cloud Hosting, Model Deployment, Cloud Computing Architecture, Cloud Platforms, Cloud Services, Cloud Management
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Dateisysteme, Apache Spark, Datenverarbeitung, Databricks, Daten-Seen, Dateiverwaltung, Microsoft Azure, Integration von Daten, Große Daten
Anfänger · Kurs · 1–3 Monate
Coursera
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Pipelines, Dataflow, Data Transformation, Data Wrangling, Data Integration, Databases, Data Processing, AI Workflows, AI Integrations, Database Management, Business Workflow Analysis, Performance Tuning, Process Design, Data Validation, Apache, Design
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, Geospatial Information and Technology, PostgreSQL, Database Development, Performance Tuning
Anfänger · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Apache Kafka, Real Time Data, Apache Spark, Dashboard, Dashboard Creation, PySpark, Data Pipelines, Business Intelligence, Data Lakes, Data Persistence, JSON, Continuous Monitoring, Business Metrics
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: CI/CD, Continuous Deployment, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Architecture, Data Management, Data Analysis Expressions (DAX), Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Anfänger · Spezialisierung · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Data Lakes, Data Governance, Cloud Engineering, Data Warehousing, Google Cloud Platform, Data Infrastructure, Data Architecture, Data Management, Cloud Storage, Data Storage Technologies, Advanced Analytics, Data Processing, Analytics, Data Security, Applied Machine Learning
Mittel · Kurs · 1–3 Monate