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Introduction to Data Analytics on Google Cloud
Comprehensive journey through Google Cloud's data analytics ecosystem designed to build foundational expertise in cloud-based data workflows.
Course Cost
₹ 2,699
Beginner
Skill Level
4 Hours
Self-paced lessons
This beginner-level course introduces the data analytics workflow on Google Cloud, focusing on tools for exploring, analyzing, and visualizing data. Students learn about data sources, storage options, and how to use BigQuery, Looker, and Looker Studio to answer data-driven questions. The course combines lectures, hands-on labs, and quizzes to demonstrate the process from raw datasets to impactful visualizations and dashboards. It's suitable for those new to data analysis or looking to enhance their skills on Google Cloud.
English
What you'll learn
Describe the data analytics workflow on Google Cloud and different types of analytics.
Identify Google Cloud data analytics products and their uses.
Understand data sources, structures, and storage options in Google Cloud.
Use BigQuery to explore data and extract insights using SQL.
Create visualizations and reports using Looker and Looker Studio.
Share data findings effectively with stakeholders.
Apply Google Cloud tools to real-world data analytics scenarios through hands-on labs.
Skills you'll gain
This course includes:
50 Minutes PreRecorded video
3 quizzes, 3 hands-on labs
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to data analytics on Google Cloud. It covers the entire data analytics lifecycle, from understanding data sources and storage options to exploring and visualizing data using Google Cloud tools. The curriculum is structured around three main components: understanding the data analytics workflow, exploring data with BigQuery, and creating visualizations with Looker and Looker Studio. Students will learn how to use SQL commands in BigQuery to extract insights from data, create charts and reports in Looker, and share their findings effectively. The course includes hands-on labs that give practical experience with these tools in real-world scenarios.
Course Introduction
Module 1 · 1 Minutes to complete
Understand the Data Analytics Lifecycle on Google Cloud
Module 2 · 20 Minutes to complete
Explore Data and Extract Insights by Using BigQuery
Module 3 · 1 Hours to complete
Make Data-driven Decisions by Using Looker
Module 4 · 2 Hours to complete
Course Summary
Module 5 · 1 Minutes to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.