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Erkunden Sie den Datenengineering-Kurskatalog
Amazon Web Services
Kompetenzen, die Sie erwerben: Amazon Web Services, MongoDB, NoSQL, Cloud-Based Integration, Cloud Applications, Operational Databases
University of Colorado Boulder
Kompetenzen, die Sie erwerben: User Story, Supplier Management, Project Schedules, Sustainability Reporting, Project Closure, Engineering Management, Financial Analysis, Milestones (Project Management), Financial Statement Analysis, Cost Estimation, Personal Development, Environmental Social And Corporate Governance (ESG), Team Leadership, Stakeholder Management, Resilience, Agile Project Management, Capital Budgeting, Self-Awareness, Project Risk Management, Cost Management
- Status: Neu
Kompetenzen, die Sie erwerben: Private Cloud, Cloud Infrastructure, Virtual Machines, VMware ESX Servers, Google Cloud Platform, Cloud Computing Architecture, Virtualization, Virtual Private Networks (VPN), Cloud Management, Data Storage Technologies, Cloud Services, Cloud Storage, General Networking
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Probability, Statistical Inference, Statistical Hypothesis Testing, Service Level, Dimensionality Reduction, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Software Engineering, Performance Testing, Data Science, Bash (Scripting Language)
University of Illinois at Urbana-Champaign
Kompetenzen, die Sie erwerben: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing, Organizational Change
- Status: Neu
Kompetenzen, die Sie erwerben: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning, Machine Learning Algorithms
Kompetenzen, die Sie erwerben: Data Ethics, Artificial Intelligence, Software Visualization, Data Integrity, Data Governance, Data Quality, Applied Machine Learning, Machine Learning, Technical Documentation
- Status: Neu
Kompetenzen, die Sie erwerben: Big Data, Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Statistical Inference, Machine Learning Methods, SQL
Kompetenzen, die Sie erwerben: Data Ethics, Open Source Technology, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Validation
Kompetenzen, die Sie erwerben: Data Ethics, Artificial Intelligence, Software Visualization, Data Cleansing, MLOps (Machine Learning Operations), Machine Learning, Technical Documentation, Data Validation
Kompetenzen, die Sie erwerben: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Test Automation, Data Validation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Quality
- Status: Neu
Google Cloud
Kompetenzen, die Sie erwerben: Data Migration, Database Management, Relational Databases, Google Cloud Platform, Database Architecture and Administration, Databases, Dataflow, Query Languages, Database Design, Cloud Applications, Terraform, Scalability, Transaction Processing, System Monitoring
Zusammenfassend finden Sie hier 10 unsere beliebtesten data engineering Kurse
- Getting Started with Amazon DocumentDB (with MongoDB compatibility): Amazon Web Services
- Engineering Management Graduate Certificate: University of Colorado Boulder
- Concepts fondamentaux de Google Cloud VMware Engine: Google Cloud
- Data Science Graduate Certificate: University of Colorado Boulder
- Graduate Certificate in Accounting Data Analytics: University of Illinois at Urbana-Champaign
- Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
- Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
- Responsible AI for Developers: Fairness & Bias - 日本語版: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud