This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
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- 5 stars70.86%
- 4 stars22.84%
- 3 stars4.87%
- 2 stars0.89%
- 1 star0.51%
來自CREATING NEW BIGQUERY DATASETS AND VISUALIZING INSIGHTS的熱門評論
I generally happy with the course. It is however challenging as the data sets and or application interfaces and screens sometimes do not match the videos or lesson instructions.
This course is an excellent continuation to the one prior and builds upon data analysis skills through GCP tools in an informational, easily digestible, and fascinating manner.
Great course! The course helped me get great insight into BigQuery and SQL and how various visualisations are done on Google Studio. Looking forward to the next course!
Amazing course . The instructor was explaining step by step on the BQ concepts and data studio . The labs exercises gave an hands on experience to work with Big Query .
關於 From Data to Insights with Google Cloud 專項課程
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● Data Analysts, Business Analysts, Business Intelligence professionals ● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
Qwiklabs Terms of Service
Definitions“Service” means the Lab Service and the Lab Creation Service, collectively, along with the Qwiklab Site.“Lab Service” means the educational, training, and learning services provided to you through the Qwiklabs Site, or any related website provided by Cloud vLab, in concert with your respective Lab Sponsor.“Creator role” means the designation of your account as a creator to access the “Lab Creation Service”. If you have the Creator role, all sections of this agreement apply to you including sections that reference the Lab Service and the Lab Creation Service.“Lab Creation Service” means the services and functionality hosted by Cloud vLab and made available to you only if you have a “Creator role” on or through the Qwiklabs Site through which you may deploy, configure, customize, manage, administer, and control a virtual server for implementing and testing software as a part of your training through the Lab Service.“Lab Sponsor” means the company or other organization with whom you are employed or otherwise associated in connection with the Lab Service."Content" means any content or work of authorship created, owned or licensed by you only if you have a “Creator role’, submitted to the Lab Creation Service, and that is transmitted, rendered, displayed or executed on or through the Service, including without limitation any text, postings, audio, sounds, video, photos, images, messages, software, and materials.“Sponsor Content” means any content or work of authorship created, owned, or licensed by your Lab Sponsor and utilized in the Service.“Qwiklabs Technology” means all of Cloud vLab’s proprietary technology (including, but not limited to, software, hardware, products, processes, algorithms, user interfaces, know-how, techniques, designs, and other tangible or intangible technical material or information) made available to you by Cloud vLab in providing the Service, excluding Sponsor Content.“Qwiklabs Site” means the web site located at Qwiklab.com, and/or any related or successor URLs operated or controlled by Cloud vLab.“Resources” means any virtual or physical infrastructure provided to you by the Service.Use of the ServiceOverview of Rights
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Term and TerminationTerm
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You acknowledge and agree that by using the Service, you may be exposed to Sponsor Content that is offensive, indecent, or objectionable. You further acknowledge and agree that the Service and the Sponsor Content may contain errors or omissions. You acknowledge and agree that Cloud vLab does not screen or review published Sponsor Content on the Service to determine whether it contains false or defamatory material or material which is offensive, indecent, objectionable, or which contains errors or omissions. Under no circumstances will Cloud vLab be liable in any way for Sponsor Content, including, but not limited to, for any defamation, falsehoods, errors, or omissions in any such content, or for any loss or damage of any kind incurred as a result of the use or publication of any such Sponsor Content posted, emailed, or otherwise transmitted via the Service. Cloud vLab does not guarantee that any Sponsor Content will be to your satisfaction.
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In no event shall Cloud vLab incur any liability to you or any End Users on account of any loss or damage resulting from any delay or failure to perform all or any part of this Agreement to the extent such delay or failure is caused by events, occurrences, or causes beyond the control and without negligence of Cloud vLab, including by not limited to acts of God, strikes, riots, acts of war, lockouts, earthquakes, fires, and explosions.
Last Updated: September 1, 2015