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, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre

Dartmouth College
Kompetenzen, die Sie erwerben: Digital Transformation, Business Ethics, Customer experience strategy (CX), Predictive Analytics, Simulation and Simulation Software, Advanced Analytics, Business Transformation, Scikit Learn (Machine Learning Library), Model Evaluation, Data-Driven Decision-Making, Operations Research, Internet Of Things, Analytics, Cloud Computing, Business Analytics, Cloud Services, Automation, Systems Thinking, Complex Problem Solving, Process Optimization
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: SQL, Star Schema, Data Modeling, Data Quality, Data Pipelines, Database Design, Data Mart, Data Validation, Extract, Transform, Load, Data Analysis, Data Warehousing, Data Transformation, Data Management, Version Control
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Unternehmensanalytik, Daten-Pipelines, Business Intelligence, IBM Cognos Analytics, Business-Analytik, Datenbank-Design, Analytics, Analytik, SQL, Peer Review, Data Warehousing, Dashboard, Datenbanken, Datenmodellierung, Auszug, MySQL, IBM Cognos-Analytik, PostgreSQL, Shell-Skript, Data-Warehousing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Storytelling, Data Engineering, Data Presentation, Key Performance Indicators (KPIs), Dashboard, Business Analytics, Business Intelligence, Extract, Transform, Load, Performance Analysis, Data Transformation, SQL, Automation, Data Management, Version Control
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Architecture, Data Infrastructure, Distributed Computing, Data Modeling, Scalability, Data Management, Data Strategy, Microservices, Solution Architecture, Data Governance, Software Architecture, Semantic Web, Data Integration, Information Architecture, CI/CD, Software Design, Maintainability, Enterprise Architecture, Data Analysis, Generative AI
Mittel · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Business Intelligence, Datenanalyse, SQL, Datenverwaltung, Datenmanagement, Datenqualität, Datenbank-Design, Data Warehousing, Daten Architektur, Data Mining, Data-Mining, Daten-Integration, Daten-Governance, Data Governance, Datenarchitektur, Relationale Datenbanken, Auszug, Systeme Design, Data-Warehousing, Datenmodellierung, Star Schema
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Data Preprocessing, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Amazon S3, Personally Identifiable Information, Data Security
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
Mittel · Kurs · 3–6 Monate

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

Kompetenzen, die Sie erwerben: Apache Airflow, CI/CD, Data Pipelines, Continuous Deployment, Workflow Management, Site Reliability Engineering, Data Engineering, Model Deployment, Data Quality, Version Control, PostgreSQL, Git (Version Control System), Python Programming, Debugging, SQL, Production Management, Scheduling, Unit Testing, Linux Commands, Web Servers
Mittel · Kurs · 1–4 Wochen