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Data Science And Engineering Course

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What will I learn?

Improve your Business Intelligence career with our Data Science and Engineering Course. You will study important topics like data storage solutions using Google BigQuery and Amazon Redshift, and learn data pipeline design using Apache Kafka and NiFi. Get skills in data processing with Apache Spark, and look at retail data from e-commerce platforms and customer databases. Learn ETL processes, documentation, and reporting to turn raw data into useful information. Join now to improve your data-driven decision-making skills.

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

Learn data warehousing: Store and manage big data sets well.

Design data pipelines: Make smooth data flow using Apache Kafka and NiFi.

Process data with Spark: Change and clean data for good analysis.

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

Document and report: Make detailed data flow diagrams and full reports.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change chapters and 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.