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Data Science And Engineering Course

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What will I learn?

Elevate your Business Intelligence career with our Data Science and Engineering Course. Dive into essential topics like data storage solutions with Google BigQuery and Amazon Redshift, and master data pipeline design using Apache Kafka and NiFi. Gain expertise in data processing with Apache Spark, and explore retail data sources from e-commerce platforms to customer databases. Learn ETL processes, documentation, and reporting techniques to transform raw data into actionable insights. Join now to enhance your data-driven decision-making skills.

Apoia's Unique Features

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

Develop skills

Strengthen the development of the practical skills listed below

Master data warehousing: Efficiently store and manage vast data sets.

Design data pipelines: Create seamless data flow with Apache Kafka and NiFi.

Process data with Spark: Transform and clean data for insightful analysis.

Analyze retail data: Leverage POS, e-commerce, and customer databases.

Document and report: Craft detailed data flow diagrams and comprehensive reports.

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.