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
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.
Good course to practice working with queries more in-depth and covers interesting topics on data visualization.
Short and concise course on joins and google data studio, hope there would be more focus on google data studio too
More substantive than the first course in the Analyst track. Nice practical hands-on intro. Quite limited but that is apparently by design.
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?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Last Updated: September 1, 2015
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