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CERTIFICATE
Data Transformation in the Cloud
This course is part of Google Cloud Data Analytics Professional Certificate.
Course Cost
Free course
Beginner
Skill Level
16 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Google Cloud Data Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
1,732 Enrolled
English
What you'll learn
Describe the stages of the data journey and how they drive data-driven decision making
Recognize the role and importance of data transformation in preparing data for analysis
Identify the key components and benefits of cloud-based data pipelines
Differentiate between ETL and ELT approaches and select appropriate transformation methods
Develop effective data transformation plans to address business needs
Apply practical SQL techniques for cleaning, joining, and aggregating datasets
Skills you'll gain
This course includes:
17 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This comprehensive course explores the fundamentals of data transformation in cloud environments. Students will learn the complete data journey from collection to analysis, with special focus on the processing and transformation stages that prepare data for meaningful insights. The curriculum covers both theoretical concepts and practical applications, including data pipeline architecture, ETL vs. ELT approaches, and optimization strategies. Through hands-on activities, learners will practice SQL pipeline creation, data cleaning techniques, and methods for joining and aggregating datasets. The course emphasizes real-world business applications, teaching students how to develop effective data transformation plans that address common challenges while maintaining data integrity and security.
Introduction to data transformation in the cloud
Module 1 · 5 Hours to complete
Handle raw data with data pipelines
Module 2 · 6 Hours to complete
Cloud data optimization strategies
Module 3 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Data Analytics Professional Certificate
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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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Frequently asked Questions
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