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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. Delve into essential topics such as data storage solutions using Google BigQuery and Amazon Redshift, and become proficient in 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 practices, and reporting techniques to transform raw data into actionable insights. Join now to enhance your data-driven decision-making skills.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

Master data warehousing: Efficiently store and manage large datasets.

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

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

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

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

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the 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 it offers practical and relevant knowledge for your professional journey.