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Erkunden Sie den Datenengineering-Kurskatalog
Kompetenzen, die Sie erwerben: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Apache Airflow, Data Infrastructure, Data Sharing, Data Processing, Data Integration, IT Automation, Cloud Storage, Data Storage, Real Time Data, Serverless Computing
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing
- Status: Kostenloser Testzeitraum
Duke University
Kompetenzen, die Sie erwerben: Algorithmen, Daten-Pipelines, Containerisierung, Testautomatisierung, Befehlszeilen-Schnittstelle, Paket- und Software-Management, Cloud-Technik, Virtuelle Umgebung, Microservices, Python-Programmierung, Angewandtes maschinelles Lernen, Bereitstellung von Anwendungen, Entwicklungsumgebung, Jupyter, AWS SageMaker
- Status: NeuStatus: Vorschau
Northeastern University
Kompetenzen, die Sie erwerben: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Mart, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis
- Status: Kostenloser Testzeitraum
Kompetenzen, die Sie erwerben: Dataflow, Google Cloud Platform, Data Pipelines, Looker (Software), Data Lakes, Real Time Data, Data Warehousing, Big Data, Data Infrastructure, Cloud Infrastructure, Unstructured Data, Tensorflow, Data Storage, Dashboard, Data Architecture, Data Processing, Apache Airflow, MLOps (Machine Learning Operations), Cloud Storage, Applied Machine Learning
Kompetenzen, die Sie erwerben: Data Pipelines, Cloud Storage, Data Infrastructure, Data Warehousing, Extract, Transform, Load, Data Integration, Data Processing, Data Migration, Data Lakes, Google Cloud Platform, Big Data, Data Storage Technologies, Cloud Services, Automation, Serverless Computing
- Status: Kostenloser Testzeitraum
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Architecture, Enterprise Architecture, Data Modeling, Data Migration, Data Warehousing, Database Architecture and Administration, Emerging Technologies, Data Processing, Data Storage, Data Management, Data Integration, Dataflow, Application Frameworks, Data Governance, Technology Strategies, Scalability
Kompetenzen, die Sie erwerben: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing
- Status: Kostenloser Testzeitraum
Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage
- Status: Kostenloser Testzeitraum
Whizlabs
Kompetenzen, die Sie erwerben: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing
- Status: Vorschau
Kompetenzen, die Sie erwerben: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Analysis
- Status: Kostenloser Testzeitraum
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Sampling (Statistics), Statistical Hypothesis Testing, Correlation Analysis, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Estimation, Data Visualization, Risk Analysis, Statistical Software, R (Software), Statistical Methods, Box Plots, Return On Investment, Probability & Statistics, Sample Size Determination, Data Manipulation, Problem Solving
Zusammenfassend finden Sie hier 10 unsere beliebtesten data engineering Kurse
- Introduction to Data Engineering on Google Cloud - 한국어: Google Cloud
- Introduction to Data Engineering on Google Cloud - Français: Google Cloud
- Webanwendungen und Befehlszeilen-Tools für Data Engineering: Duke University
- Data Warehousing and Integration Part 1: Northeastern University
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
- Enterprise Data Architecture and Operations: SkillUp
- Introduction to Data Engineering on Google Cloud - Bahasa Indonesia: Google Cloud
- Feature Engineering: Google Cloud
- AWS: Data Analytics: Whizlabs