Coursera

Free Data Analytics Fundamentals Course: Lakes and Warehouses — AWS

The two-part course connects the five Vs of big data, a high-level view of machine learning and AWS services with data lakes and warehouses.

Free Data Analytics Fundamentals Course: Lakes and Warehouses — AWS; clear course cover by WikiFree.
Free learning access

No trial required. Access information checked on 20 October 2026. See the details below for credentials and any separate tool costs.

About this course

Analytics is easier to understand when the discussion starts with a business struggling to use its information. Fundamentals of Analytics on AWS follows a media-company scenario to introduce data challenges, analytics concepts and modern data architecture.

The two-part course connects the five Vs of big data, a high-level view of machine learning and AWS services with data lakes and warehouses. The scenario provides a consistent setting for considering how information supports operational and strategic decisions.

Official course Fundamentals of Analytics on AWS
Created by Amazon Web Services
Platform Coursera
Level / language Introductory; WikiFree classification / English
Estimated study time About 2 hours (Coursera estimate)
Format Two instructional app items within one module, plus a reflection quiz
Access Learning content free; account needed
Certificate No certificate offered for this course

Skills you’ll gain

  • Analytics fundamentals
  • Data architecture awareness
  • Data lakes
  • Data warehouses
  • Big data concepts
  • Data-informed decision-making

This is a useful route for a learner who wants to understand the architecture behind analytics rather than only create a chart. WikiFree recommends pairing it later with practical data analysis work. Knowing where data is stored and knowing how to interpret it are related, but distinct, skills.

Business questionsUnderstand the data challenge.
Data characteristicsExplore the big-data perspective.
Storage choicesCompare lakes and warehouses.
ArchitectureConnect services to analytics needs.

Coursera estimates two hours for the instructional material. The course uses a company case to explain concepts; this overview does not describe that case as a portfolio project or claim that a production data platform is built during the course.

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Affiliate disclosure: an eligible later purchase may earn WikiFree a commission. The learning access described here is free.

Choose your next step

Connect analytical capability to business outcomes with AWS’s course on AI use cases and business metrics.

To separate analytics vocabulary from machine learning concepts, add the free AWS AI and ML foundations course.

Frequently asked questions

Is this mainly about making dashboards?

Its published focus is analytics concepts, big data and AWS data architecture, including lakes and warehouses.

Why is it longer than some other AWS introductions?

The listing contains two instructional app items, with about two hours estimated for the course.

Independent WikiFree overview based on the official syllabus and access information, reviewed 20 October 2026.

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