Data Science And Engineering Course
What will I learn?
Simudzira basa rako re Business Intelligence ne Data Science ne Engineering Course yedu. Nyatsobata nyaya dzinokosha sedzekuchengetedza data ne Google BigQuery ne Amazon Redshift, woita shasha pakugadzira data pipelines uchishandisa Apache Kafka ne NiFi. Wedzera ruzivo mukugadzirisa data ne Apache Spark, wonzwisisa kwainobva retail data kubva kuma e-commerce platforms kusvika kuma customer databases. Dzidza ETL processes, kunyora magwaro, uye nzira dzekuita report kuti ushandure raw data kuita mazano anobatsira. Join izvozvi kuti uwedzere hunyanzvi hwako hwekuita zvisarudzo zvichibva padata.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva shasha yekuchengetedza data: Chengetedza nekugadzirisa data rakawanda zvakanaka.
Gadzira data pipelines: Ita kuti data rifambe zvakanaka ne Apache Kafka ne NiFi.
Gadzirisa data ne Spark: Shandura nekuchenesa data kuti uwane ongororo inobatsira.
Ongorora retail data: Shandisa POS, e-commerce, uye customer databases.
Nyora magwaro nekuita report: Gadzira madhayagiramu anoratidza mafambiro edata nemareport akazara.
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 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.