Cloud Data Engineering Course
What will I learn?
Level up your Business Intelligence skills with our Cloud Data Engineering Course. Master data cleaning and transformation techniques, including sorting out missing values and fixing data types. Get stuck into cloud-based data visualisation with tools like Google Data Studio, Amazon QuickSight, and Power BI. Get clued up on cloud service providers such as AWS, Google Cloud, and Microsoft Azure. Learn to dokument projects properly and check out cloud data processing and storage solutions. Sign up now to transform your data know-how.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data cleaning: Sort out missing values and fix data types efficiently.
Visualise data: Create insightful visuals using Google Data Studio and Power BI.
Dokument projects: Learn the best ways to do proper project dokumentation.
Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms.
Process data in cloud: Use Azure Data Factory, Google Dataflow, and AWS Glue.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.