Overview

In this Google Cloud Labs Specialization, you'll receive hands-on experience building and practicing skills in BigQuery and Cloud Data Fusion. You will start learning the basics of BigQuery, building and optimizing warehouses, and then get hands-on practice on the more advanced data integration features available in Cloud Data Fusion. Learning will take place leveraging Google Cloud's Qwiklab platform where you will have the virtual environment and resources need to complete each lab. This specialization is broken up into 4 courses comprised of a series of courses: BigQuery Basics for Data Analysts Build and Optimize Data Warehouses with BigQuery Building Advanced Codeless Pipelines on Cloud Data Fusion Data Science on Google Cloud: Machine Learning You will even be able to earn a Skills Badge in one of these lab-based courses.

Syllabus

Course 1: BigQuery Basics for Data Analysts
- Offered by Google Cloud. Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying ... Enroll for free.

Course 2: Building Advanced Codeless Pipelines on Cloud Data Fusion
- Offered by Google Cloud. In this Google Cloud Labs Series, learners get hands-on practice on the more advanced data integration features ... Enroll for free.

Course 3: Data Science on Google Cloud
- Offered by Google Cloud. Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud ... Enroll for free.

Course 4: Data Science on Google Cloud: Machine Learning
- Offered by Google Cloud. Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud ... Enroll for free.

Courses

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Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this Google Cloud Labs Series, covering chapter 9 through the end of the book, you run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services.

Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive collection of BigQuery Google Cloud Labs Series. BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
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In this Google Cloud Labs Series, learners get hands-on practice on the more advanced data integration features available in Cloud Data Fusion, while sharing best practices to build more robust, reusable, dynamic pipelines. Learners get to try out the data lineage feature as well to derive interesting insights into their data’s history.

Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
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1 week
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Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Google Cloud Labs Series, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring, and visualizing data sets using Google Cloud tools and services.

Note: you will have timed access to the online environment. You will need to complete each lab within the allotted time.