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Cloud Data Engineering Course

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What will I learn?

Elevate 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. Enrol now to transform your data expertise.

Apoia's Differentials

Online and lifetime access to courses
Certificate adhering to educational standards
Printable PDF summaries
Online assistant available at all times
Select and arrange the chapters you wish to study
Set your own course workload
Practical activities marked instantly
Study anytime, no internet needed

Develop skills

Strengthen the development of the practical skills listed below

Master data cleaning: Handle missing values and correct data types efficiently.

Visualise data: Create insightful visuals using Google Data Studio and Power BI.

Document projects: Learn best practices for comprehensive project documentation.

Navigate cloud services: Understand AWS, Google Cloud, and Microsoft Azure platforms.

Process data in cloud: Utilize 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.