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Data Science And Engineering Course

What will I learn?

Elevate your Business Intelligence career with our Data Science and Engineering Course. Delve into crucial topics like data storage solutions using Google BigQuery and Amazon Redshift, and master data pipeline design using Apache Kafka and NiFi. Become an expert in data processing with Apache Spark, and explore retail data sources, everything from e-commerce platforms to customer databases. Learn ETL processes, documentation, and reporting techniques to transform raw data into insights you can actually use. Join now to improve your data-driven decision-making skills.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master data warehousing: Store and manage large datasets effectively.

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

Process data with Spark: Transform and clean data for clear and valuable analysis.

Analyse retail data: Make the most of POS, e-commerce, and customer databases.

Document and report: Produce detailed data flow diagrams and complete 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.