Introduction to Data Analytics in Google Cloud

Overview

This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization.

You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.

Syllabus

• Introduction to cloud computing
Welcome to the Google Cloud Data Analytics Certificate
Google Cloud Data Analytics Certificate overview
Introduction to Course 1
Course 1 overview
Helpful resources and tips
Lab technical tips
Explore your Course 1 scenario: TheLook eCommerce
Welcome to module 1
Ben: The cloud's impact on education
Cloud computing infrastructure
Cloud computing service models
The history of cloud computing
Benefits of cloud computing
Introduction to artificial intelligence
Test your knowledge: Foundations of cloud computing
Traditional versus cloud computing
Cloud data warehouses
Advantages of cloud data warehouses
Introduction to BigQuery
Test your knowledge: Cloud computing versus traditional computing
Wrap-up
Glossary terms from module 1
Module 1 challenge
• Data analytics in the cloud
Welcome to module 2
Steps for effective cloud migration
Explore cloud deployment models
Benefits of cloud deployment models
Test your knowledge: Cloud data analysis versus on-premises data analysis
Cloud's role in advancing data analytics
Benefits of cloud data analytics
Cost considerations of cloud services
Cloud data analytics in different industries
Test your knowledge: The impact of cloud data analytics
Overview of cloud architecture
The Google Cloud Architecture Framework
Cost optimization for the cloud
Cost optimization tips
Test your knowledge: Google Cloud Architecture Framework
Wrap-up
Glossary terms from module 2
Module 2 challenge
• The data lifecycle
Welcome to module 3
Introduction to data management
Importance of data management
[Supplemental] Store and use data with SQL
Safety and privacy in the cloud
Test your knowledge: Introduction to data management
Stages of the data lifecycle
Summary of the data lifecycle
The data lifecycle in action
Activity: Design a data lifecycle plan
Activity Quiz: Design a data lifecycle plan
Activity Exemplar: Design a data lifecycle plan
Test your knowledge: Introduction to the data lifecycle
Common roles on a data team
Overview of data team roles
Safa: Data analysts are essential in the cloud
[Supplemental] Overview of data analysis and business intelligence
Test your knowledge: The data team's role in the data lifecycle
Importance of automation in the data lifecycle
Types of automation for the data lifecycle
Introduction to data retention policies
Overview of version control and holds
Versioning and holds for accurate data
Test your knowledge: Control data flow in the cloud
Wrap-up
Glossary terms from module 3
Module 3 challenge
• The role of a cloud data analyst
Welcome to module 4
Data analysis in the cloud
Data analyst job responsibilities
Overview of Google's cloud data analytics tools
End-to-end data management
Data access management for secure data
Types of data access management
Test your knowledge: Data management in the cloud
Introduction to business data requests
Communicate and collaborate with stakeholders
Tips for ensuring accurate data
The data request process
Test your knowledge: Align data with stakeholder requests
Cloud data storage and management tools
Google Cloud's data storage and management tools
Introduction to Dataproc
Uses of generative AI in data analytics
Navigate BigQuery
Test your knowledge: Cloud data tools
Introduction to process management
Strategies for handling data requests
Elements of a data request
Clear documentation benefits the whole team
Test your knowledge: Process management as a data analyst
Wrap-up
Vince: Characteristics of strong data analyst candidates
Vince and Monica: Interview role play
Interview tip: Demonstrate your thought process
Glossary terms from module 4
Module 4 challenge
Course wrap-up
Course 1 resources and citations
Glossary terms from Course 1
• Your Next Steps
Course Badge

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Subjects

Programming