Developing Data Models with LookML

Google Cloud, located in Toronto, North America, offers you a unique blend of academic and professional opportunities. As a institution founded in 2008, it provides a fresh perspective on education. You will find advantages in its strong focus on computing, data storage, and machine learning, making it an ideal choice for students interested in these fields. Its client base spans various industries, including financial services, healthcare, retail, and education, providing you with a broad range of potential collaborations and career paths.

Specifically, Google Cloud focuses on services like computing, data analytics, and machine learning, with tools such as Google Cloud Platform (GCP) and Google Workspace. You can choose from 723 programs, which cover a broad spectrum of subjects. Key languages and technologies are taught, preparing you for a career in these in-demand fields. For instance, you can develop skills in Gmail, Docs, Drive, and Calendar, making you proficient in Google's suite of productivity tools.

In Toronto, you will find a unique city benefit - a diverse and thriving metropolis with many opportunities for internships, collaborations, and networking. You can take advantage of the city's active startup scene, with many companies using Google Cloud services. On campus, you can engage with a community of 30,000 students, including many international students, creating a dynamic and global learning environment. Opportunities for you include accessing modern labs, and participating in active student clubs, making your time at Google Cloud a rich and rewarding experience.

Developing Data Models with LookML is a non-degree course that teaches students how to develop scalable LookML models. It is several weeks long and helps students learn how to provide business users with standardized data. The course has 4 modules and is taught in English.

The curriculum focuses on developing skills in LookML, data modeling, and data management. Students will learn how to build and maintain LookML models to curate and manage data in their organization's Looker instance. The course covers topics such as data standardization and performance optimization.

After completing this course, students can pursue careers as Data Modelers, Business Intelligence Developers, Data Architects, Looker Developers, or Data Analysts. They can work in various industries, including finance, healthcare, and technology, for employers like Google, Looker, or other data-driven companies.