This course is an introduction to data analytics on Google Cloud.
The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services.
Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.
Before starting this learning path, you should already have:
The target audience is aimed at introductory level data analysts.
By the end of this course, learners will be able to:
Understand the Data Analytics Lifecycle on Google Cloud
Explore Data and Extract Insights by Using BigQuery
Make Data-Driven Decisions by Using Looker
No formal examinations for this course. There will be a module review and summary following the practical hands-on lab, quiz and slide-deck deliveries. This will further enforce learning and support additional resource finds, for continued learning and development.
Within this course there are opportunities for learners to engage in hands-on labs to support module learning.
In addition, each module will also have a quiz, to support knowledge capture.
Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
The United States continues to define the global frontier of technology and innovation, serving as the home to the world's most influential tech titans. From the legendary Silicon Valley and San Francisco Bay Area to emerging hubs like Austin, Seattle, and the Silicon Alley in New York, the US ecosystem remains unparalleled. Top-tier institutions such as MIT, Stanford, and Carnegie Mellon provide the research backbone for breakthroughs in Artificial Intelligence, Quantum Computing, and Cybersecurity. Our training programs are meticulously aligned with these industry-leading standards, ensuring that professionals can navigate the complexities of the modern digital landscape. We bridge the gap between academic theory and high-stakes corporate execution in the most competitive tech market on Earth.