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Certificate Programme in Cloud Analytics Fundamentals
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CourseDetails
- Introduction to Cloud Computing and Big Data
- Cloud Data Warehousing and Data Lakes (Cloud Data Warehousing, Data Lakes)
- Data Preparation and ETL Processes in the Cloud
- Cloud-Based Data Visualization and Business Intelligence
- Cloud Analytics Security and Governance
- Predictive Analytics and Machine Learning in the Cloud
- Case Studies in Cloud Analytics (Case Studies, Cloud Analytics)
- Cloud Analytics Tools and Technologies (Cloud Analytics Tools)
- Implementing Cloud-Based Data Pipelines
- Cost Optimization and Resource Management in Cloud Analytics
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Job Role (Cloud Analytics) Description Cloud Data Analyst Analyze large datasets, build dashboards, and extract actionable insights using cloud platforms like Google Cloud Platform (GCP) and AWS.
Cloud Data Engineer Design, build, and maintain data pipelines and infrastructure for cloud-based analytics solutions.
Expertise in big data technologies is essential.
Cloud Business Intelligence Analyst Translate business requirements into analytical solutions, leveraging cloud-based BI tools to provide reports and support strategic decision-making.
Big Data Architect (Cloud) Design and implement complex big data architectures on cloud platforms, ensuring scalability, performance, and security.
Cloud Machine Learning Engineer Develop and deploy machine learning models on cloud platforms, using tools and services to build predictive analytics solutions.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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