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Data Science And Engineering Course

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What will I learn?

Enhance your Business Intelligence career prospects with our Data Science and Engineering Course. Delve into crucial topics such as data storage solutions using Google BigQuery and Amazon Redshift, and gain proficiency in data pipeline design using Apache Kafka and NiFi. Develop expertise in data processing with Apache Spark, and explore retail data sources from e-commerce platforms to customer databases. Learn ETL processes, documentation practices, and reporting techniques to convert raw data into actionable insights. Enrol now to strengthen your data-driven decision-making capabilities.

Apoia's Advantages

Online course with lifetime access
Certificate aligned with educational standards
PDF summaries for download
24/7 online support available
Select and sequence the chapters you wish to study
Customize the course duration
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance the development of the practical skills mentioned below

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

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

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

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

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

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 provides practical and relevant knowledge for your professional journey.