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 handling missing values and correcting data types. Dive into cloud-based data visualisation with tools like Google Data Studio, Amazon QuickSight, and Power BI. Gain insights into cloud service providers such as AWS, Google Cloud, and Microsoft Azure. Learn to document projects effectively and explore cloud data processing and storage solutions. Sign up now to transform your data expertise.
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Master data cleaning: Handle missing values and correct data types efficiently, can or not?
Visualise data: Create insightful visuals using Google Data Studio and Power BI.
Document projects: Learn best practices for comprehensive project documentation, leh.
Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms, one.
Process data in cloud: Utilize Azure Data Factory, Google Dataflow, and AWS Glue, lor.
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 it offers practical and relevant knowledge for your professional journey.