Cloud Data Engineering Course
What will I learn?
Enhance your Business Intelligence capabilities with our Cloud Data Engineering Course. You will learn how to properly cleanse and change data, including handling missing entries and fixing incorrect data types. Explore data visualization using cloud-based tools like Google Data Studio, Amazon QuickSight, and Power BI. Get to know cloud service providers like AWS, Google Cloud, and Microsoft Azure. Learn the right way to properly document projects and check out cloud data processing and storage solutions. Register now to enhance your data skills.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Become good at data cleaning: Handle missing entries and fix incorrect data types with skills.
Visualize data: Create clear visuals using Google Data Studio and Power BI.
Document projects: Learn the best ways to properly document projects.
Explore 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 beginning, you can adjust 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 can generate more chapters similar to 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 provides practical and relevant knowledge for your professional journey.