Introduction to Data Analytics in Google Cloud

Beginner Level
Approx. 15 hours
Flexible Schedule

Google Cloud Training

What You’ll Learn

Define data analytics as it applies to cloud computing.

Explain the benefits of cloud computing.

Identify common tools used by entry-level cloud data analysts.

Describe key roles that interact with data within an organization.

Skills You’ll Gain

Cloud Infrastructure Google Cloud Platform Data analysis Data Management Data Warehousing Cloud Storage Cloud Computing Cloud Services Big Data Data Governance

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate from Google Cloud

There are 4 modules in this course

Kickstart your cloud data analytics adventure! This module is your welcome party – meet the instructors, get a taste of what's ahead, and unlock the meaning of cloud data analytics'. You'll go back in time to explore its history and reveal the superpowers it gives you today.

Data analysis comes in many shapes and sizes. In this module, you’ll explore the difference between traditional data analysis and cloud data analysis, and learn more about the impact of cloud data analytics. You’ll also examine various billing models in cloud computing and Google’s cloud architecture framework.

Data isn't static – it has a whole life story! In this module, you'll track its journey from birth to...well, sometimes deletion. Get the inside scoop on why managing this lifecycle is like having data superpowers – from disaster recovery to keeping costs in check. Plus, you'll tackle those nuanced rules and regulations in governance considerations.

Check out a day in the life of a cloud data analyst! Discover how the cloud changes the game, and who you'll team up with to turn data into business-boosting insights. In this module, you'll dive into the nitty gritty of managing those data questions that make a real impact on an organization.