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Duke University
Skills you'll gain: Cloud Computing, Cloud Engineering, Amazon Web Services, Data Management, Big Data, Cloud Applications, Cloud-Based Integration, DevOps, Machine Learning Software, Software Engineering Tools
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers
Google Cloud
Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Infrastructure As A Service (IaaS), Cloud Applications, Kubernetes, Identity and Access Management, Cloud Computing, Cloud Storage, Network Infrastructure, Containerization, Virtual Machines, Generative AI, Platform As A Service (PaaS), Serverless Computing, Load Balancing, Relational Databases, Scalability
Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Infrastructure As A Service (IaaS), Virtual Machines, Cloud Computing Architecture, Cloud Computing, Cloud Storage, Virtual Private Networks (VPN), Computer Networking, Firewall, Command-Line Interface
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy
Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, IBM DB2, Extract, Transform, Load, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Processing, Data Structures, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
Skills you'll gain: Cloud Computing, Cloud Platforms, Cloud Storage, Google Cloud Platform, Leadership and Management
Multiple educators
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Data Infrastructure, Database Systems, Data Integration, AWS Kinesis, Infrastructure as Code (IaC)
Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Cloud Services, Cloud Computing, SQL, Scalability
- Status: [object Object]
Google
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Interactive Data Visualization, Data Cleansing, Interviewing Skills, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), Analytics, Stakeholder Management
Skills you'll gain: Serverless Computing, Digital Transformation, Application Programming Interface (API), Business Transformation, Hybrid Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Containerization, Cloud Computing Architecture, Multi-Cloud, Technology Strategies, Cloud Computing, Cloud Applications, Kubernetes, Virtual Machines
Searches related to data infrastructure
In summary, here are 10 of our most popular data infrastructure courses
- Cloud Data Engineering: Duke University
- AI Infrastructure and Operations Fundamentals: NVIDIA
- Google Cloud Fundamentals: Core Infrastructure: Google Cloud
- Essential Google Cloud Infrastructure: Foundation: Google Cloud
- Data Analysis with Python: IBM
- Data Engineering Foundations: IBM
- Python for Data Science, AI & Development: IBM
- Essential Google Cloud Infrastructure: Core Services: Google Cloud
- DeepLearning.AI Data Engineering: DeepLearning.AI
- Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud