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Alejandro Vazquez

Menjadi anggota sejak 2023

Dasar-Dasar Analisis Data Google Cloud Earned Sep 24, 2024 EDT
Menyiapkan Data untuk Dasbor dan Laporan Looker Earned Sep 23, 2024 EDT
Developing Data Models with LookML Earned Sep 17, 2024 EDT
Analyzing and Visualizing Data in Looker Earned Sep 11, 2023 EDT
Serverless Data Processing with Dataflow: Foundations Earned Agu 11, 2023 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned Jul 26, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs Earned Jul 20, 2023 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs Earned Jul 19, 2023 EDT
Machine Learning Operations (MLOps): Getting Started Earned Jul 13, 2023 EDT
[Depricated] Build, Train and Deploy ML Models with Keras on Google Cloud Earned Jul 11, 2023 EDT

Pelajari cara mengubah angka mentah menjadi keputusan yang jelas dan berbasis data di Google Cloud. Melalui lab interaktif dan skenario praktis di dunia nyata, kursus tingkat pemula ini memandu Anda membuat kueri data di BigQuery, mengeksplorasi tren di Looker, dan membuat laporan interaktif yang dapat dibagikan di Data Studio.

Pelajari lebih lanjut

Selesaikan badge keahlian pengantar Menyiapkan Data untuk Dasbor dan Laporan Looker untuk menunjukkan keterampilan dalam hal berikut: memfilter, mengurutkan, dan melakukan pivot pada data; menggabungkan hasil dari sejumlah Eksplorasi Looker; serta menggunakan fungsi dan operator untuk membangun dasbor dan laporan Looker untuk analisis dan visualisasi data.

Pelajari lebih lanjut

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Pelajari lebih lanjut

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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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.

Pelajari lebih lanjut

Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.

Pelajari lebih lanjut

Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents. This is an intermediate course, intended for learners with the following types of roles: Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows. Citizen developers: Creates new business applications fo…

Pelajari lebih lanjut

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

Pelajari lebih lanjut

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

Pelajari lebih lanjut