Data Transformation in the Cloud

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Data Transformation in the Cloud

Name: Data Transformation in the Cloud
Rating: 4.535714285714286 (28 reviews)

This course is part of Google Cloud Data Analytics Professional Certificate

Instructor: Google Cloud Training

3,367 already enrolled

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

28 reviews

Beginner level

No prior experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

28 reviews

Beginner level

No prior experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Describe the steps of the data journey and how they are used to drive data-driven decision making.
Recognize the role of data transformation in preparing data for analysis.
Describe the benefits and challenges of transforming data in the cloud.
Identify the key components of a data transformation plan.

Skills you'll gain

Tools you'll learn

Cloud Storage

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your Software Development expertise

This course is part of the Google Cloud Data Analytics Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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 3 modules in this course

Hi learner! This is the third course of the Google Cloud Data Analytics Certificate. Tap into your creativity as you explore the world of advanced principles of data visualization. You'll discover the benefits and challenges of transforming data in the cloud and the common tools and methods used to collect, process, and store data.

Embark on the ultimate data adventure! This module maps out the cloud data journey, revealing the secrets of collecting and preparing data to fuel those brilliant business insights. You’ll uncover the power of structure, the pros and cons of cloud transformation, and the essential tools that shape data along the way.

What's included

8 videos11 readings3 assignments1 app item1 plugin

8 videos Total 14 minutes

Introduction to course 3 2 minutes
Alyx: Data analysts help others learn from data 1 minute
Welcome to module 1 1 minute
Stages of the data journey 3 minutes
Steps for effective data collection 2 minutes
The process stage ensures clean and consistent data 2 minutes
Manual and automated transformation 3 minutes
Wrap-up 1 minute

11 readings Total 180 minutes

Course 3 overview 20 minutes
Helpful resources and tips 10 minutes
Lab technical tips 10 minutes
Explore your Course 3 scenario: TheLook eCommerce 10 minutes
The data journey is a flexible path 20 minutes
Impacts of the data journey on decision making 20 minutes
[Supplemental] Process and summarize data 20 minutes
Techniques used to transform data, part 1 20 minutes
Techniques used to transform data, part 2 20 minutes
Storage options for transformed data 20 minutes
Glossary terms from module 1 10 minutes

3 assignments Total 66 minutes

Test your knowledge: Introduction to the data journey and collecting data 8 minutes
Test your knowledge: The processing and storage stages of the data journey 8 minutes
Module 1 challenge 50 minutes

1 app item Total 90 minutes

Practice Transformation Methods 90 minutes

1 plugin Total 15 minutes

Accessing and completing labs 15 minutes

Become the architect of data flow! Discover how a data pipeline works, guiding data from its origins all the way to analysis. You'll dive into each stage of the process and even get the chance to build your own SQL pipeline. Hands-on experience for the win!

What's included

11 videos9 readings5 assignments1 app item

11 videos Total 32 minutes

Welcome to module 2 1 minute
Data pipelines in the cloud 3 minutes
Alyssa: Improve systems by collecting data and asking questions 3 minutes
The difference between ELT and ETL 4 minutes
Data ingestion methods that suit your needs 4 minutes
Data mapping helps ensure consistent data 4 minutes
Introduction to profiling and cleaning data 3 minutes
Common ways to manipulate data 3 minutes
Different approaches to loading data 3 minutes
Overview of data validation strategies and rules 4 minutes
Wrap-up 1 minute

9 readings Total 170 minutes

Overview of data pipeline stages and benefits 20 minutes
Strategies and tools for efficient data ingestion 20 minutes
Data transformation steps to ensure reliable data 20 minutes
Data transformation techniques that achieve different business needs 20 minutes
Transformation approaches for securing data 20 minutes
Data anonymization with generative models 20 minutes
Data dictionaries and monitoring help maintain data integrity 20 minutes
Analysis and visualization after the data pipeline 20 minutes
Glossary terms from module 2 10 minutes

5 assignments Total 88 minutes

Test your knowledge: Introduction to data pipelines 10 minutes
Test your knowledge: The extract stage of data pipelines 10 minutes
Test your knowledge: The transformation stage of data pipelines 10 minutes
Test your knowledge: The load stage of data pipelines 8 minutes
Module 2 challenge 50 minutes

1 app item Total 90 minutes

Creating and managing SQL pipelines 90 minutes

Ready to streamline your data operations? This module is your guide to tackling the massive amounts of data that modern businesses generate. You'll explore strategies to optimize data for analysis, and you'll practice cleaning, summarizing, and joining data sets – skills that make your insights shine.

What's included

10 videos9 readings5 assignments1 app item

10 videos Total 30 minutes

Welcome to module 3 1 minute
Challenges of data transformation 4 minutes
Data aggregation can make it easier to extract meaningful insights 3 minutes
Consequences of duplicate data and how to eliminate it 4 minutes
Overview of how joins combine data from different tables 4 minutes
Data derivation to combine data and obtain new insights 4 minutes
Wrap-up 1 minute
Lauren: What makes candidates stand out 3 minutes
Lauren and Ela: Interview role play 5 minutes
Course wrap-up 1 minute

9 readings Total 140 minutes

Benefits of data transformation plans 10 minutes
Steps for developing a data transformation plan 20 minutes
Activity: Analyze a data transformation plan 30 minutes
Nulls and aggregate data 20 minutes
SQL strategies to join data effectively 20 minutes
Interview tip: Explain impact 10 minutes
Glossary terms from module 3 10 minutes
Course 3 resources and citations 10 minutes
Glossary terms from Course 3 10 minutes

5 assignments Total 82 minutes

Activity Quiz: Analyze a data transformation plan 10 minutes
Test your knowledge: Data transformation plans 6 minutes
Test your knowledge: Data aggregation and deduplication 8 minutes
Test your knowledge: Joins and data derivation 8 minutes
Module 3 challenge 50 minutes

1 app item Total 90 minutes

Apply RFM method to segment customer data 90 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(7 ratings)

Google Cloud Training

Google Cloud

2,110 Courses 4,008,556 learners

Offered by

Google Cloud

Explore more from Software Development

Google Cloud
Exploring Data Transformation with Google Cloud
Course
Google Cloud
The Power of Storytelling: How to Visualize Data in the Cloud
Course
Google Cloud
Creating a Data Transformation Pipeline with Cloud Dataprep
Project
DeepLearning.AI
Data Modeling, Transformation, and Serving
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
67.85%
4 stars
25%
3 stars
3.57%
2 stars
0%
1 star
3.57%

Showing 3 of 28

Reviewed on Feb 5, 2025

it was a great experience for me ....i was highly interested in this course because they taught me well

Reviewed on Aug 2, 2024

great content and learning, it was not easy but with practice I can make it, thank you.

View more reviews

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.