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Data Science And Engineering Course

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What will I learn?

Tek yuh Business Intelligence career to di next level wid wi Data Science an' Engineeryaz Course. Plunge inna important topic dem like data storage solution dem wid Google BigQuery an' Amazon Redshift, an' master data pipeline design using Apache Kafka an' NiFi. Get expertize inna data processin' wid Apache Spark, an' explore retail data source dem from e-commerce platform dem to customer database dem. Learn ETL process dem, documentation, an' reportin' technique dem fi transform raw data inta actionable insight. Join now fi enhance yuh data-driven decision-makin' skill dem.

Apoia's Unique Offerings

Online courses with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize the course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance the development of the practical skills listed below

Master data warehousing: Store an' manage big data set dem efficient.

Design data pipeline dem: Create smooth data flow wid Apache Kafka an' NiFi.

Process data wid Spark: Transform an' clean data fi insightful analysis.

Analyze retail data: Use POS, e-commerce, an' customer database dem.

Document an' report: Create detailed data flow diagram dem an' full report dem.

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'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.