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Introduction to Data Analytics in Google Cloud

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Overview

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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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