Introduction to Data Analytics in Google Cloud

Google Cloud provides a conceptual route into analytics before a learner commits to a particular tool. Cloud computing, the data lifecycle and the analyst’s role form its roughly sixteen-hour outline. Choose it to understand how organizational data work fits together.

What you will learn

• Explain how cloud computing supports an analytics workflow.
• Follow information through stages of the data lifecycle.
• Distinguish the responsibilities of roles working with organizational data.

Who this suits

Beginners considering analytics work in a cloud environment.

Before you enroll

The provider lists beginner level and no prerequisite detail. This is an introduction to the environment and role; pair it with practical query or analysis work for deeper tool experience.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Tool subscriptions, model API usage and cloud services may cost extra.

Put it into practice

Draw a data lifecycle for a fictional service. Identify where records are collected, cleaned, analyzed and presented, and assign a responsible role to each stage.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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