Cloud Data Engineering Course
What will I learn?
Tsholetsa bokgoni jwa gago jwa Botlhale jwa Kgwebo ka Kose ya rona ya Boenjiniara jwa Data mo Marung. Ithute bokgoni jwa go phepafatsa le go fetola data, go akaretsa go samagana le boleng jo bo tlogetsweng le go baakanya mefuta ya data. Ithute ka ponelopele ya data e e theilweng mo marung ka didirisiwa jaaka Google Data Studio, Amazon QuickSight, le Power BI. Bona lesedi ka ga batlamedi ba ditirelo tsa maru jaaka AWS, Google Cloud, le Microsoft Azure. Ithute go kwala diporojeke ka boitsenape le go sekaseka ditharollo tsa go dira le go boloka data mo marung. Ikwadise jaanong go fetola bokgoni jwa gago jwa data.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go phepafatsa data: Samagana le boleng jo bo tlogetsweng le go baakanya mefuta ya data ka botswerere.
Bontsha data ka pono: Tlhama dipono tse di nang le lesedi o dirisa Google Data Studio le Power BI.
Kwala diporojeke: Ithute mekgwa e e siameng ya go kwala ditokomane tsa porojeke ka botlalo.
Tsamaya mo ditirelong tsa maru: Tlhaloganya dipolanete tsa AWS, Google Cloud, le Microsoft Azure.
Dira data mo marung: Dirisa Azure Data Factory, Google Dataflow, le AWS Glue.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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’ll 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.