Sorry, this page is no longer available
We may earn an affiliate commission when you visit our partners.
Course image
Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to troubleshoot and diagnose LookML code

Enroll now

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches best practices for working with LookML code
Provides hands-on practice troubleshooting LookML code in the Google Cloud console
Suitable for learners with some experience working with Looker and LookML

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Practical lookml troubleshooting in google cloud

According to students, this course offers a highly practical and hands-on approach to troubleshooting LookML data models. Many found the self-paced lab exercises in the Google Cloud console to be invaluable for applying concepts immediately and gaining actionable strategies for diagnosing common LookML errors. While it provides a solid foundation, some learners noted that it assumes a foundational understanding of LookML, potentially making it less suitable for absolute beginners to the language itself. Overall, it's considered a must-take for Looker professionals seeking to enhance their debugging skills.
Delivers well on its specific promise for Looker professionals.
"It's a niche topic, and this course delivers well on its promise."
"Very focused and practical. The troubleshooting methods taught were immediately applicable."
"It's concise yet comprehensive enough for its scope."
Provides clear methods for diagnosing and resolving LookML issues.
"This course demystifies LookML errors and provides a clear roadmap for resolving them. Every Looker developer should take this."
"The troubleshooting methods taught were immediately applicable. I wish there were more labs covering different types of errors."
"Perfectly structured lab. I was struggling with specific LookML errors and this helped me immensely."
Offers invaluable practical exercises for real-world application.
"This lab was incredibly helpful for understanding how to pinpoint issues in LookML. The hands-on nature of the exercises made the concepts really stick."
"Excellent practical guide. As someone who constantly deals with LookML errors, this course gave me actionable strategies. The examples were very realistic."
"The hands-on practice in the Google Cloud console was invaluable. This course demystifies LookML errors and provides a clear roadmap for resolving them."
Minor reports of slow lab environment experiences.
"It's okay. The lab environment was a bit slow at times, which was frustrating."
Best for those with some LookML experience, not absolute beginners.
"The content itself was decent but assumed a bit more LookML knowledge than I had... I had to look up some concepts externally."
"Requires a foundational understanding of LookML. It's great for professionals looking to enhance their debugging skills."
"Not what I expected... If you're already good with LookML, this might be for you, but it wasn't for me."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Troubleshooting Data Models in Looker with these activities:
Review Basic SQL
Reinforce your fundamental understanding of SQL to enhance your comprehension of LookML code.
Browse courses on SQL
Show steps
  • Revisit online tutorials or documentation on SQL syntax and concepts.
  • Practice writing basic SQL queries on a sample dataset.
Analyze LookML Code Examples
Engage in hands-on practice by analyzing and interpreting real-world LookML code examples.
Show steps
  • Find online resources or documentation that provide sample LookML code.
  • Review the code, identify its structure and components.
  • Try to understand the purpose and functionality of each code block.
Show all two activities

Career center

Learners who complete Troubleshooting Data Models in Looker will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data analysts collect, transform, and analyze data to help businesses understand their operations and make better decisions. The Troubleshooting Data Models in Looker course can help data analysts troubleshoot and diagnose LookML code, which is essential in data analysis and modeling. This course can provide data analysts with the skills they need to ensure the accuracy and reliability of their data models.
Business Analyst
Business analysts help businesses understand their operations and make better decisions by analyzing data and identifying opportunities for improvement. The Troubleshooting Data Models in Looker course can help business analysts troubleshoot and diagnose LookML code, which is essential in data analysis and modeling. This course can provide business analysts with the skills they need to ensure the accuracy and reliability of their data models.
Data Scientist
Data scientists use data to help businesses understand their operations and make better decisions. The Troubleshooting Data Models in Looker course can help data scientists troubleshoot and diagnose LookML code, which is essential in data analysis and modeling. This course can provide data scientists with the skills they need to ensure the accuracy and reliability of their data models.
Data Engineer
Data engineers design and build systems for collecting, storing, and processing data. The Troubleshooting Data Models in Looker course can help data engineers troubleshoot and diagnose LookML code, which is essential in data modeling and engineering. This course can provide data engineers with the skills they need to ensure the accuracy and reliability of their data models.
Data Architect
Data architects design and build the architecture for data systems. The Troubleshooting Data Models in Looker course can help data architects troubleshoot and diagnose LookML code, which is essential in data modeling and engineering. This course can provide data architects with the skills they need to ensure the accuracy and reliability of their data models.
Database Administrator
Database administrators manage and maintain databases. The Troubleshooting Data Models in Looker course can help database administrators troubleshoot and diagnose LookML code, which is essential in data modeling and engineering. This course can provide database administrators with the skills they need to ensure the accuracy and reliability of their data models.
BI Analyst
BI analysts collect, analyze, and interpret data to help businesses understand their operations and make better decisions. The Troubleshooting Data Models in Looker course can help BI analysts troubleshoot and diagnose LookML code, which is essential in data analysis and modeling. This course can provide BI analysts with the skills they need to ensure the accuracy and reliability of their data models.
Data Modeler
Data modelers design and build data models that represent the structure and relationships between data. The Troubleshooting Data Models in Looker course can help data modelers troubleshoot and diagnose LookML code, which is essential in data modeling. This course can provide data modelers with the skills they need to ensure the accuracy and reliability of their data models.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Troubleshooting Data Models in Looker.
This popular textbook is used to teach data analysis at many academic institutions and would be an excellent resource for further study.
This highly-rated book provides a more advanced treatment of machine learning.
This introduction to time series analysis and forecasting can provide additional insights into the topics covered in this course.
Is an excellent resource for learning about logistic regression.
If you want to learn more about the fundamentals of data visualization, this book good resource.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser