Over the first week of my internship at One Analytics, I took the Domo Student Training Course and Domo Student Certification Exam. The course was an excellent introduction to the vast resources that Domo offers its users, and I highly recommend completing it if you’re a student who is currently working with or planning to work with Domo. Upon completing the course, you’ll find yourself confident in your abilities to tell extravagant data stories with Domo regardless of your previous experience.
Domo Student Training Course Overview
The Domo Student Training Course consists of 6 modules, with a grand total of 36 individual lessons throughout its entirety. The course is a combination of reading, videos, and hands-on assignments, with 11 practice datasets provided for students to use during these assignments. Students may also find short quizzes throughout certain lessons. Overall, the course took roughly 12 to 15 hours to complete.
Domo Student Certification Exam Overview
The Domo Student Certification Exam consists of 49 multiple choice questions and covers the entirety of the course. The exam requires a final grade of 80% or higher to pass. Should a student fail their first attempt, the exam allows for a single retake.
Course Content
Connecting Data (Connectors, Workbench, and Local Uploads)
The course follows the path one would take when actually using Domo for their data needs and begins by explaining how to connect data to Domo. The course explains that there are a multitude of ways to connect to Domo (pre-built connectors, Workbench, and local uploads). Although it covers all three ways, it has a hands-on exercise only for local uploads.
Transforming Data (Magic ETL)
The course then covers how to transform the data uploaded to Domo. Although the course mentions there are multiple different ways to transform data in Domo, the course focuses on Magic ETL, an intuitive drag-and-drop interface that allows users to transform, aggregate, and combine data without any coding experience. The course provides opportunities to work with multiple datasets and practice many of the actions the Magic ETL interface allows.
Visualizing Data (Analyzer and Domo Dashboards)
After data is transformed, the course introduces Analyzer, the interface in which users can create visualizations of their data. The course provides opportunities to explore and create charts, graphs, and maps through Domo’s Analyzer tool.
The course introduces Beast Modes, a tool to create calculations within Analyzer itself. Through many hands-on activities, the course provides excellent practice in creating Beast Modes.
The course additionally describes how to build Domo dashboards, but it doesn’t provide a hands-on opportunity to build dashboards.
Communicating Data (Buzz and Alerts)
The course covers Buzz, Domo’s built-in communication tool. Although you don’t use Buzz during the course, the course covers all of its practical applications and how it can be used when needed.
The course additionally covers Domo Alerts which allow users to remain up to date on how and when their data is changing. The course dives deep into the types of alerts available to users as well as the different methods in which they can be assigned and utilized.
Provisioning Access to Data (Personalized Data Permissions)
The course briefly covers Personalized Data Permissions (PDP) which allow Domo users to provision access to cards and dashboards on a case-by-case basis.
Helpful Tips
For students taking the course, I recommend exploring on your own as you move through the lessons. Having Domo pulled up in a separate window as you progress through the course is immensely helpful and allows you to follow along in real time with the instructions, even when not participating in a hands-on activity. When you do complete a hands-on activity, consider continuing to experiment with the created dataset or card after the activity is completed to become more comfortable with navigating Domo’s many capabilities.
It is also helpful to know that some small pieces of the course are out of date. Domo is constantly updating, and therefore some of the practice datasets, as well as minor portions of Analyzer, have changed slightly since the course was created. This does not impact your ability to complete the course, and the core concepts remain relevant.
Finally, it is important to note that the Domo Student Training Course doesn’t cover App Studio, Domo’s low-code app builder that allows users to create custom applications to visualize and interact with their data. Since App Studio isn’t covered here, I recommend learning more about it in Domo’s App Studio Overview course. You can additionally check out our App Studio guide to help you get started.
Conclusion
The Domo Student Training Course is an excellent way to familiarize yourself with the platform. It greatly benefits students wishing to learn more about Domo and the capabilities it provides.
Want to take the course? Sign up today.
Interested in an internship working with companies that use Domo? Check out what a day in the life of a data analytics intern is like and the current opportunities at One Analytics.
