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    Introduction to Data Analytics on Google Cloud
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    Google Cloud

    Introduction to Data Analytics on Google Cloud

    Google Cloud Training

    Instructor: Google Cloud Training

    1,587 already enrolled

    Included with Coursera Plus

    •Learn more
    5 modules
    Gain insight into a topic and learn the fundamentals.
    4.6

    (10 reviews)

    Beginner level
    No prior experience required
    4 hours to complete
    3 weeks at 1 hour a week
    Flexible schedule
    Learn at your own pace

    5 modules
    Gain insight into a topic and learn the fundamentals.
    4.6

    (10 reviews)

    Beginner level
    No prior experience required
    4 hours to complete
    3 weeks at 1 hour a week
    Flexible schedule
    Learn at your own pace
    • About
    • Modules
    • Recommendations
    • Testimonials

    What you'll learn

    • Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.

    • Identify Google Cloud data analytics products and describe how each is used to work with data.

    • Describe data sources, data structures, and data storage options in Google Cloud.

    • Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions.

    Skills you'll gain

    • Business Intelligence
    • Data Warehousing
    • Data Storage
    • Data Presentation
    • Data Analysis
    • Google Cloud Platform
    • Analytics
    • Data Visualization Software
    • Data Storytelling
    • SQL
    • Looker (Software)
    • Data-Driven Decision-Making
    • Big Data

    Details to know

    Shareable certificate

    Add to your LinkedIn profile

    Assessments

    3 assignments

    Taught in English

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    There are 5 modules in this course

    In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.

    This section welcomes learners to the Introduction to Data Analytics on Google Cloud course. In addition, this section introduces learners to the topics, concepts, and objectives of the course.

    What's included

    1 video

    1 video•Total 1 minute
    • Course introduction•1 minute•Preview module

    In this module, you receive a high-level introduction to a typical Google Cloud data analytics workflow, including what data sources and storage options are available, and examples of what types of data are best suited for data analysis versus machine learning training data.

    What's included

    4 videos1 assignment

    4 videos•Total 10 minutes
    • Understand the data analytics lifecycle on Google Cloud: Introduction•0 minutes•Preview module
    • Introducing a Google Cloud data analytics workflow•3 minutes
    • Google Cloud data sources and storage methods•5 minutes
    • Understand the data analytics lifecycle on Google Cloud: Summary•0 minutes
    1 assignment•Total 10 minutes
    • Quiz: Understand the data analytics lifecycle on Google Cloud•10 minutes

    In this module, you receive a high-level introduction to BigQuery and its solution architecture, and use common SQL commands to locate specific data in BigQuery to answer a data-driven question.

    What's included

    7 videos1 assignment1 app item

    7 videos•Total 20 minutes
    • Explore data and extract insights using BigQuery: Introduction•0 minutes•Preview module
    • Introduction to BigQuery for data analysts•6 minutes
    • Derive insight from data with BigQuery•3 minutes
    • Getting Started with Google Cloud Platform and Qwiklabs•4 minutes
    • Lab introduction: BigQuery: Qwik Start - Console•0 minutes
    • BigQuery organizes data to make analytics easier•3 minutes
    • Explore data and extract insights using BigQuery: Summary•0 minutes
    1 assignment•Total 10 minutes
    • Quiz: Explore data and extract insights using BigQuery •10 minutes
    1 app item•Total 60 minutes
    • Lab: BigQuery: Qwik Start - Console•60 minutes

    In this module you learn the fundamentals of data exploration and visualization in Looker. In addition, you learn how to share data from Looker and Looker Studio.

    What's included

    7 videos1 assignment2 app items

    7 videos•Total 18 minutes
    • Make data-driven decisions using Looker: Introduction•2 minutes•Preview module
    • Use Looker to analyze and chart data•5 minutes
    • Lab introduction: Looker Data Explorer - Qwik Start•0 minutes
    • Visualize data using Looker studio•4 minutes
    • Lab introduction: Looker Studio: Qwik Start•0 minutes
    • Share reports and visualizations•4 minutes
    • Make data-driven decisions using Looker: Summary•0 minutes
    1 assignment•Total 10 minutes
    • Quiz: Making data-driven decisions using Looker•10 minutes
    2 app items•Total 120 minutes
    • Lab: Looker Data Explorer - Qwik Start•60 minutes
    • Lab: Looker Studio: Qwik Start•60 minutes

    This module reviews the topics covered in the course and provides resources for further learning.

    What's included

    1 video

    1 video•Total 1 minute
    • Course Summary•1 minute•Preview module

    Instructor

    Google Cloud Training
    Google Cloud Training
    Google Cloud
    1,819 Courses•3,374,283 learners

    Offered by

    Google Cloud

    Offered by

    Google Cloud

    We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

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