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Cloud Data Engineering Course
Sharpen your Business Intelligence skills with our Cloud Data Engineering Course (Ghana). Become proper experts in data cleaning and transformation techniques, including how to handle missing data and fix data types. Jump inside cloud-based data visualization using tools like Google Data Studio, Amazon QuickSight, and Power BI. Get proper knowledge of cloud service providers like AWS, Google Cloud, and Microsoft Azure. Learn how to document projects well and explore cloud data processing and storage solutions. Sign up now to turn your data skills into a real thing!
- Master data cleaning: Handle missing data well and fix data types sharp sharp.
- Visualize data: Create visuals that make sense using Google Data Studio and Power BI.
- Document projects: Learn the best ways to document projects properly.
- Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms well well.
- Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Sharpen your Business Intelligence skills with our Cloud Data Engineering Course (Ghana). Become proper experts in data cleaning and transformation techniques, including how to handle missing data and fix data types. Jump inside cloud-based data visualization using tools like Google Data Studio, Amazon QuickSight, and Power BI. Get proper knowledge of cloud service providers like AWS, Google Cloud, and Microsoft Azure. Learn how to document projects well and explore cloud data processing and storage solutions. Sign up now to turn your data skills into a real thing!
Elevify advantages
Develop skills
- Master data cleaning: Handle missing data well and fix data types sharp sharp.
- Visualize data: Create visuals that make sense using Google Data Studio and Power BI.
- Document projects: Learn the best ways to document projects properly.
- Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms well well.
- Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.
Suggested summary
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