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

Kompetenzen, die Sie erwerben: Databricks, Apache Spark, Microsoft Azure, Data Integration, Data Lakes, File Systems, Data Processing, Big Data, File Management, Cloud Storage
Anfänger · Kurs · 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: Sampling (Statistics), SAS (Software), Data Integration, Change Control, Statistical Methods, Data Manipulation, Data Mapping, Data Processing, Data Management, Data Maintenance, Data Transformation, Data Governance, Transaction Processing, Version Control
Mittel · Kurs · 1–3 Monate

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: Dashboard Creation, Dashboard, Kibana, System Monitoring, Automation, IT Automation, Scripting, Programming Principles, Python Programming, Data Visualization Software, Data Structures
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Maintenance, Dataflow, Dependency Analysis
Fortgeschritten · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Cloud Deployment, Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Cloud Management, Continuous Delivery, Containerization, Amazon Web Services, Serverless Computing, Virtual Machines, Performance Testing, Virtualization and Virtual Machines, System Monitoring, Flask (Web Framework), Performance Stress Testing, Continuous Monitoring
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

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: 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

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Databricks, Data Pipelines, Data Lakes, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming
Anfänger · Kurs · 1–4 Wochen