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Data Analytics and Visualization

Google Cloud via Coursera Specialization

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Details

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Beginner

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

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This learning path provides a comprehensive introduction to the data lifecycle, focusing on how to derive actionable insights using Google Cloud’s powerful analytics tools. Learners will progress from foundational cloud concepts to advanced data transformation with BigQuery and professional dashboarding in Looker Studio. By the end of this path, you will be able to ingest, clean, and visualize complex datasets to support data-driven decision-making.

Syllabus

Course 1: Introduction to Data Analytics on Google Cloud
Course 2: BigQuery for Data Analysts
Course 3: Analyzing and Visualizing Data the Google Way
Course 4: How to Build a BI Dashboard Using Google Looker Studio and BigQuery

Courses

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This is a self-paced lab that takes place in the Google Cloud console. Learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end
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This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.
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Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.