In this project, you will create three custom reports in Google Analytics, using three different methods. You will understand the building blocks of a custom report. You will determine what data is needed for a custom report. And, you will create the custom report to best meet your analysis and monitoring needs. You will also discover the Google Gallery where you can find various types of custom reports, and import the ones that best meet your needs. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This is a self-paced lab that takes place in the Google Cloud console. This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.

This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.

In this 1-hour long project-based course, you will learn how to perform core job-related tasks within the SQL Server Management Studio (SSMS) environment. You will use the tools in SSMS to automatically generate queries, manage security permissions, create dependent scripts, and create and backup a database. You will get hands-on practices performing these tasks using real data in a SQL Server Database.

In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique. In this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to: - Create bar and line charts - Create choropleth and symbol maps - Create node-link diagrams and tree maps - Implement zooming and brushing - Link two or more views through interaction The course mixes theoretical and practical lectures. We will show you step by step how to use the library to build actual visualizations and what theoretical concepts lie behind them. Throughout the course you will learn skills that will lead you to building a whole application by the end of the lectures (a fully working visualization system to visualize airlines routes). This course is the third one of the “Specialization in Information Visualization". The course expects you to have some basic knowledge of programming as well as some basic visualization skills.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to migrate MySQL user data when running Database Migration Service jobs. First, you identify the existing MySQL users and update DEFINER to INVOKER for database objects on the source instance. Next, you create and save a Database Migration Service job. Then, before running the migration job, you create the necessary users on the destination database instance. Finally, you start the saved migration job; after the job runs successfully, you check the migrated data in the Cloud SQL for MySQL instance.

This is a self-paced lab that takes place in the Google Cloud console. Learn the process for partitioning a data set into a training set that will be used to develop a model, and a test set that can then be used to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will be introduced to the basics of Dialogflow by building a responsive chat bot, such as those handling support requests on websites, to experience interactive AI in application development.

Whether you're just beginning to work with the cloud or you already have cloud experience and are new to Microsoft Azure, this course provides you with everything you need to get started. It introduces you to Microsoft Azure core concepts and services. You’ll learn the basics of cloud computing, its advantages, and how to choose the right Microsoft Azure solution for different business scenarios. You’ll use the Microsoft Azure portal and a sandbox to create and test Microsoft Azure resources at no cost to you. You don’t need to write code or have scripting skills to do this. You’ll learn about several of the database and big data services that are available on Microsoft Azure. You'll also learn how to take advantage of several virtualization services in Microsoft Azure compute, which can help your applications scale out quickly and efficiently to meet increasing demands. Finally, you’ll learn about the different storage and virtual network options available in Microsoft Azure. This course can help you prepare for AZ-900: Microsoft Azure Fundamentals exam. This is the first course in a four-course program that prepares you to take the AZ-900 certification exam. This course teaches you the core concepts and skills that are assessed in the cloud concepts and core Microsoft Azure services exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of networking, storage, compute, application support, and application development. You should also be familiar with the concept of application programming interfaces or APIs. It is beneficial to have a high-level familiarity with relevant Microsoft products such as Dynamics 365 and Office 365.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to build a Google Workspace Add-on using Node.js and Cloud Run.