Data Science And Engineering Course
What will I learn?
Tsholetsa tiro ya gago ya Business Intelligence ka Thuto ya rona ya Saense ya Data le Boenjenere. Ithute ka botlalo dintlha tsa botlhokwa jaaka didirisiwa tsa go boloka data jaaka Google BigQuery le Amazon Redshift, mme o itse go rulaganya diphaephe tsa data ka go dirisa Apache Kafka le NiFi. Nna le boitseanape mo go direng data ka Apache Spark, mme o tlhatlhobe metswedi ya data ya barekisi go tswa mo dipolanong tsa e-commerce go ya kwa dibolokelong tsa data tsa bareki. Ithute ditsela tsa ETL, ditokomane, le mekgwa ya go bega go fetola data e e sa tlhaolwang go nna tshedimosetso e e ka dirisiwang. Tsenela jaanong go tokafatsa bokgoni jwa gago jwa go dira ditshwetso tse di ikaegileng ka data.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng go boloka data: Boloka le go laola di-data tse dikgolo ka bokgabane.
Rulaganyang diphaephe tsa data: Tlhama tsela e e bonolo ya go tsamaisa data ka Apache Kafka le NiFi.
Dire data ka Spark: Fetola le go phepafatsa data gore e sekasekwe ka botlalo.
Sekaseka data ya barekisi: Dirisa POS, e-commerce, le dibolokelo tsa data tsa bareki.
Kwala ditokomane mme o bege: Tlhama ditshwantsho tse di supang tsela e data e tsamayang ka yone le dipego tse di feletseng.
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.