DEPRECATED BigQuery Basics for Data Analysts
Earned Jul 12, 2023 EDT
Informationen aus BigQuery-Daten ableiten
Earned Jul 11, 2023 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Jul 9, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 5, 2023 EDT
Get Started with Looker
Earned Jun 17, 2023 EDT
Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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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 series of BigQuery labs. 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.
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Mit dem Skill-Logo zum Kurs Informationen aus BigQuery-Daten ableiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Schreiben von SQL-Abfragen, Abfragen öffentlicher Tabellen, Laden von Beispieldaten in BigQuery, Beheben häufig auftretender Syntaxfehler mithilfe der Abfragevalidierung in BigQuery und Erstellen von Berichten in Looker Studio durch Herstellen einer Verbindung zu BigQuery-Daten.
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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 Looker 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.
Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.
After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
Contact Center AI: Conversational Design Fundamentals
Earned Jul 13, 2023 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jul 12, 2023 EDT
Informationen aus BigQuery-Daten ableiten
Earned Jul 11, 2023 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Jul 9, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 5, 2023 EDT
Get Started with Looker
Earned Jun 17, 2023 EDT