
LookML describes dimensions, aggregates, calculations, and data relationships, enabling reusable fields, version control, precise debugging, and support for many-to-one to many-to-many joins to simplify complex data models for dashboards.
Celebrate reaching the milestone and stay motivated as you progress through LookML A-Z: Google Looker for Developers, while learning to rate the course and use Q&A and AI assistant.
Learn LookML terms such as local project, views, explores, and models, and how dashboards link to explores. Understand dimensions and measures with aggregates like count, sum, average, min, and max.
Define a dimension with type number to compute profit as revenue minus cost, and format the result with value format options such as usd, rupee, integer, or two decimals.
Explore the boolean yes/no data type in LookML dimensions, where status equals paid yields yes and not paid yields no, using a case when expression to create a boolean variable.
Learn to plot data on a map by creating a location dimension in LookML, specifying latitude and longitude fields to visualize store locations.
Define time data types in LookML by creating a dimension with a type and a square block, exploring daytime date, date time of the day, and hour data types.
Define a running total measure in LookML by naming the measure, setting type to running total on a field, and optionally formatting as USD for sales dashboards.
Learn how yes/no measures evaluate conditions on aggregated data in Looker. Create a boolean measure like is_large_total to test whether total sales price exceeds a threshold.
Explore creating two Looker measures from flight data to assess airport performance: a median departure delay by airport and an average taxi-out time, revealing efficiency differences across airports.
LookML lesson on measures: create a median departure delay measure to mitigate outliers from weather or accidents, add a taxi out time measure using average, then validate syntax.
Master the substitution operator to reference columns from the connected table, refer to dimensions and measures in the current or other views, and reuse base table columns with precise syntax.
Explore the four join types in Looker—cross join, left outer join, full outer join, and inner join—and understand how cross join yields all combinations between two tables.
Explore how to perform joins across tables using a common key such as the DNA ID column, and master 1-to-1, many-to-one, one-to-many, and many-to-many relationships in LookML for Looker developers.
Learn to create a left join in Looker LookML, linking flights to airports with a many-to-one relation on origin, supporting multi-view joins and validation without errors.
Learn to customize the explore menu using label, group label, and description to rename models and explorers, organize with subheadings, and hide explorers on front end without back end changes.
If you are searching for a course to learn LookML, the language that powers Google Looker, then this is the training for you.
In this course, we will start from the very basic level and cover all the important aspects of LookML
This is a concise, only four hour course and can be easily completed in just one weekend.
Below are some frequently asked questions about LookML and Looker:
What is LookML used for?
LookML is a language for describing dimensions, aggregates, calculations, and data relationships in a SQL database. Looker uses a model written in LookML to construct SQL queries against a particular database.
Is LookML easy to learn?
Looker ML is a very simple language that anyone can learn, once they have mastered the fundamentals. In this course, we will go step-by-step to learn this from beginner level to advanced level.
Is LookML similar to SQL?
In short, LookML is SQL evolved. It leverages SQL's power in a way that's familiar to analysts, while abstracting away the low-level concerns that analysts usually have to manage. It's a powerful language with a huge community of developers who support each other.
A Verifiable Certificate of Completion is presented to all students who undertake this LookML course.
Why should you choose this course?
This is a complete and concise tutorial on LookML which can be completed within 4-5 hours. We know that your time is important and hence we have created this fast paced course without wasting time on irrelevant operations.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We have in-depth understanding on and practical exposure to Google Looker and Data Visualization.
We are also the creators of some of the most popular online courses - with over 1,000,000 enrollments and thousands of 5-star reviews like these ones:
I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! - Sikiru
Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, Google Looker, LookML or anything related to any topic, you can always post a question in the course or send us a direct message.
And so much more!
By the end of this course, your confidence in using LookML will soar. You'll have a thorough understanding of how to use LookML for creating insightful dashboards and beautiful reports.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this Google Data Studio course!
Cheers
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