Data Engineer Kurse
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.
Beliebte Data Engineer Kurse & Zertifikate
Kompetenzen, die Sie erwerben: Data Governance, Data Lakes, Databricks, Data Management, Data Processing, Metadata Management, Google Cloud Platform, Data Warehousing, Data Integration, Data Pipelines, Query Languages, Data Quality, Data Security, Analytics, Software Installation, Performance Tuning, Cloud Infrastructure, Distributed Computing, Data Modeling, Application Programming Interface (API)
Chegg Skills
Kompetenzen, die Sie erwerben: Pandas (Python Package), Server Side, Development Environment, Pseudocode, Data Cleansing, Back-End Web Development, Data Engineering, Data Quality, Descriptive Statistics, Data Manipulation, Python Programming, Data Wrangling, Web Development, Programming Principles, Data Analysis, Analytics, Artificial Intelligence, Generative AI, Software Development, Problem Solving
Kompetenzen, die Sie erwerben: Apache Kafka, Apache Airflow, Relational Databases, Data Pipelines, PostgreSQL, Apache Spark, Databases, Data Processing, Real Time Data, SQL, Data Modeling, Data Warehousing, Extract, Transform, Load, Data Quality, Data Transformation, Data Validation, Data Storage Technologies, Workflow Management, Data Analysis, Python Programming
Kompetenzen, die Sie erwerben: Apache Airflow, CI/CD, Data Pipelines, Google Cloud Platform, Data Transformation, Data Warehousing, Data Processing, PySpark, Cloud Storage, Extract, Transform, Load, Data Modeling, Data Cleansing, Data Architecture, Cloud API, Cloud Deployment, Retail Management, Good Clinical Practices (GCP)
Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Convolutional Neural Networks, Generative Model Architectures, Data Governance, Data Mining, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Generative AI Agents, Time Series Analysis and Forecasting
University of Colorado Boulder
Kompetenzen, die Sie erwerben: GIS Software, Spatial Data Analysis, Geospatial Information and Technology, Geospatial Mapping, Geographic Information Systems, Spatial Analysis, Data Store, Databases, Database Management, Database Systems, Data Infrastructure, Data Manipulation, Data Import/Export
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, Databases, Data Visualization Software, Matplotlib, Time Series Analysis and Forecasting, Data Wrangling, Correlation Analysis
Coursera
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Pipelines, Geospatial Information and Technology, Apache Airflow, Geospatial Mapping, Spatial Data Analysis, Cloud Computing, Leaflet (Software), Google Cloud Platform, Real Time Data, Global Positioning Systems, Data Transformation, Data Analysis, Machine Learning
Kompetenzen, die Sie erwerben: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Data Management, Data Entry, Database Architecture and Administration, Real Time Data, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Kompetenzen, die Sie erwerben: Apache Spark, PySpark, Data Engineering, Data Pipelines, Data Lakes, Data Governance, Databricks, Data Manipulation, Data Transformation, Data Processing, Performance Tuning, Data Access, Real Time Data, Data Capture, Devops Tools, DevOps, Apache
Duke University
Kompetenzen, die Sie erwerben: Daten-Pipelines, Software-Prüfung, Cloud-basierte Integration, Python-Programmierung, Daten-Strukturen, Datenverarbeitung, Restful API, Befehlszeilenschnittstelle, Rust (Programmiersprache), Anwendungsprogrammierschnittstelle (API), Sichere Kodierung, Verschlüsselung, System-Programmierung, Datenmanipulation, Amazon Web Services
Kompetenzen, die Sie erwerben: Daten-Pipelines, GitHub, Apache Airflow, Apache, Python-Programmierung, Apache Spark, Qualität der Daten, Professionelle Netzwerkarbeit, Portfolio-Verwaltung, Interviewing-Fähigkeiten, Web-Präsenz, SQL
