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Cloud Data Engineering Course
Improve your Business Intelligence skills with our Cloud Data Engineering Course. Master data cleaning and transformation techniques, including dealing with missing values and fixing data types. Explore cloud-based data visualisation with tools like Google Data Studio, Amazon QuickSight, and Power BI. Get a good understanding of cloud service providers such as AWS, Google Cloud, and Microsoft Azure. Learn to properly document projects and find out about cloud data processing and storage solutions. Sign up now to boost your data skills.
- Master data cleaning: Deal with missing values and fix data types properly and efficiently.
- Visualise data: Create visuals that give good insights using Google Data Studio and Power BI.
- Document projects: Learn the best ways to properly document your projects.
- Navigate cloud services: Understand the AWS, Google Cloud, and Microsoft Azure platforms.
- Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Cloud Data Engineering Course. Master data cleaning and transformation techniques, including dealing with missing values and fixing data types. Explore cloud-based data visualisation with tools like Google Data Studio, Amazon QuickSight, and Power BI. Get a good understanding of cloud service providers such as AWS, Google Cloud, and Microsoft Azure. Learn to properly document projects and find out about cloud data processing and storage solutions. Sign up now to boost your data skills.
Elevify advantages
Develop skills
- Master data cleaning: Deal with missing values and fix data types properly and efficiently.
- Visualise data: Create visuals that give good insights using Google Data Studio and Power BI.
- Document projects: Learn the best ways to properly document your projects.
- Navigate cloud services: Understand the AWS, Google Cloud, and Microsoft Azure platforms.
- Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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