This is the second course in the Data to Insights course series. 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.
Über diesen Kurs
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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Top-Bewertungen von CREATING NEW BIGQUERY DATASETS AND VISUALIZING INSIGHTS
Creating New BigQuery Datasets and Visualizing Insights it is very tough but by following the videos and labs helped me lot
An excellent course on BigQuery, supported SQL features and Data Studio for presenting prepared and filtered data. Thank you!
give me many experience and knowledge for data visualization and querying some data sets
Short and concise course on joins and google data studio, hope there would be more focus on google data studio too
Über den Spezialisierung From Data to Insights with Google Cloud
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 <<<
Häufig gestellte Fragen
Kann ich vor der Anmeldung eine Vorschau des Kurses ansehen?
Ja, Sie können eine Vorschau des ersten Videos und den Lehrplan ansehen, bevor Sie sich anmelden. Sie müssen den Kurs kaufen, um Zugriff auf die Inhalte zu erhalten, die nicht in der Vorschau inbegriffen sind.
Was bekomme ich, wenn ich mich anmelde?
Sobald Sie sich anmelden und Ihre Kurseinheit beginnt, haben Sie Zugriff auf alle Videos und andere Ressourcen, einschließlich der Texte und des Kurs-Diskussionsforums. Sie können praktische Aufgaben ansehen und einreichen und erforderliche bewertete Aufgaben abschließen, um eine Bewertung und ein Kurszertifikat zu erhalten.
Wann erhalte ich mein Kurszertifikat?
Wenn Sie den Kurs erfolgreich abschließen, wird der Seite „Errungenschaften“ Ihr elektronisches Kurszertifikat hinzugefügt – von dort können Sie Ihr Kurszertifikat ausdrucken oder es zu Ihrem LinkedIn-Profil hinzufügen.
Warum kann ich nicht als Gast an diesem Kurs teilnehmen?
Dieser Kurs ist einer der wenigen auf Coursera angebotenen Kurse, die derzeit ausschließlich für Kursteilnehmer zugänglich sind, die bezahlt oder finanzielle Unterstützung erhalten haben, wenn diese verfügbar ist.
Ist finanzielle Unterstützung möglich?
Ja. Für ausgewählte Lernprogramme können Sie finanzielle Unterstützung oder ein Stipendium beantragen, wenn Sie sich die Anmeldegebühr nicht leisten können. Wenn für das von Ihnen gewählte Lernprogramm finanzielle Unterstützung oder ein Stipendium verfügbar ist, wird auf der Beschreibungsseite ein Link zu einem solchen Antrag angezeigt.
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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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CLOUD VLAB AND ITS LICENSORS MAKE NO REPRESENTATION, WARRANTY, OR GUARANTY AS TO THE RELIABILITY, TIMELINESS, QUALITY, SUITABILITY, TRUTH, AVAILABILITY, ACCURACY, OR COMPLETENESS OF THE SERVICE OR ANY SPONSOR CONTENT. CLOUD VLAB AND ITS LICENSORS DO NOT REPRESENT OR WARRANT THAT (A) THE USE OF THE SERVICE WILL BE SECURE, TIMELY, UNINTERRUPTED, OR ERROR-FREE OR OPERATE IN COMBINATION WITH ANY OTHER HARDWARE, SOFTWARE, SYSTEM, OR DATA, (B) THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS, (C) ANY STORED DATA WILL BE ACCURATE OR RELIABLE, (D) THE QUALITY OF ANY PRODUCTS, SERVICES, INFORMATION, OR OTHER MATERIAL PURCHASED OR OBTAINED BY YOU THROUGH THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS, (E) ERRORS OR DEFECTS WILL BE CORRECTED, OR (F) THE SERVICE OR THE SERVER(S) THAT MAKE THE SERVICE AVAILABLE ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. THE SERVICE AND ALL SPONSOR CONTENT ARE PROVIDED TO YOU STRICTLY ON AN "AS IS" BASIS. CLOUD VLAB AND ITS LICENSORS HEREBY DISCLAIM (TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW) ALL CONDITIONS, REPRESENTATIONS AND WARRANTIES, WHETHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING, WITHOUT LIMITATION, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT OF THIRD PARTY RIGHTS.
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Last Updated: September 1, 2015
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