Developing Data Models with LookML - 日本語版
Earned 9月 20, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - 日本語版
Earned 9月 16, 2022 EDT
This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.
詳細
This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.
詳細
In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.
詳細
By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.
詳細
In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
詳細
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.
詳細
Welcome Gamers! Learn fundamentals of Google Cloud's Looker, all while having fun! Looker is a modern data platform in Google Cloud that allows you to analyze and visualize your data interactively. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
詳細
In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.
詳細
BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング」のスキルバッジを獲得できる中級コースを修了すると、 Dataprep by Trifacta を使用した BigQuery へのデータ変換パイプラインの構築、 Cloud Storage、Dataflow、BigQuery を使用した抽出、変換、読み込み（ETL）ワークフローの構築、 BigQuery ML を使用した ML モデルの構築に関するスキルを実証できます。
「Google Cloud の ML API 用にデータを準備」コースの入門スキルバッジを獲得できるアクティビティを修了すると、 Dataprep by Trifacta を使用したデータのクリーニング、Dataflow でのデータ パイプラインの実行、Dataproc でのクラスタの作成と Apache Spark ジョブの実行、 Cloud Natural Language API、Google Cloud Speech-to-Text API、Video Intelligence API などの ML API の呼び出しに関するスキルを証明できます。
このコースでは、データから AI へのライフサイクルをサポートする Google Cloud のビッグデータと ML のプロダクトやサービスを紹介します。また、Google Cloud で Vertex AI を使用してビッグデータ パイプラインと ML モデルを作成する際のプロセス、課題、メリットについて説明します。
The Modern Data Platform and LookML
Earned 1月 26, 2024 EST
Driving Data Culture and Designing Dashboards
Earned 8月 9, 2023 EDT
Achieving Business Outcomes with Looker
Earned 8月 7, 2023 EDT
Looker Explained
Earned 7月 31, 2023 EDT
Applying Advanced LookML Concepts in Looker
Earned 7月 27, 2023 EDT
Analyzing and Visualizing Data in Looker - 日本語版
Earned 7月 26, 2023 EDT
Understanding LookML in Looker
Earned 7月 20, 2023 EDT
Looker ダッシュボードとレポート用にデータを準備する
Earned 7月 17, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned 7月 6, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned 5月 31, 2023 EDT
Cloud Hero Looker Skills
Earned 2月 22, 2023 EST
Liquid Templates and Parameters
Earned 12月 2, 2022 EST
BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング
Earned 11月 11, 2022 EST
BigQuery でデータ ウェアハウスを構築する
Earned 11月 10, 2022 EST
Google Cloud の ML API 用にデータを準備
Earned 11月 9, 2022 EST
Compute Engine での Cloud Load Balancing の実装
Earned 10月 19, 2022 EDT
Developing Data Models with LookML - 日本語版
Earned 9月 20, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - 日本語版
Earned 9月 16, 2022 EDT