Advanced Tableau - Level of Detail Expressions / LOD
4.4 (424 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,421 students enrolled

Advanced Tableau - Level of Detail Expressions / LOD

Take Your Tableau Data Visualization and Data Analytics Skills to the Next Level and Design Custom Solutions with Ease
4.4 (424 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,421 students enrolled
Last updated 9/2019
English [Auto]
Current price: $76.99 Original price: $109.99 Discount: 30% off
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This course includes
  • 6 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understanding LOD expressions and using them confidently
  • Performing calculations in Tableau that are at a different level of detail than the view
  • Analyzing and solving complex analytical challenges
  • Understanding the different levels of details of multivariate datasets
  • Cohort analysis
  • Market basket analysis
  • User retention analysis
  • Binning aggregates by dimensions
  • Proportional brushing
  • Relative comparison of values/ categories
  • Nesting LOD expressions
  • Basic understanding of Tableau
  • No prior knowledge of level of detail expressions is required
  • Tableau Desktop Professional or Tableau Public Desktop
  • Tableau Reader (if you are a Tableau Public user)
  • MS Excel or other table management tool (e.g. OpenOffice Calc)
  • Pen and paper to take notes

Have you ever had analytical questions that are easy to ask, but surprisingly hard to answer with regular analytical tools? Do you often find yourself asking questions involving different data layers? Like comparing a single category to a whole table; or applying filters on particular fields; or tracking the behaviour of custom cohorts over time - just to mention a few classic examples.

Do you want to know how to compare data aggregated at different levels of granularity?

Do you often bump into the error message: 'Cannot mix aggregate and non-aggregate values'?

Do Tableau terms FIXED, INCLUDE or EXCLUDE confuse you? Are you struggling choosing the right one for particular tasks?

Do you want to step up your daily analytical game and gain new, useful skills?

If you are a passionate Tableau user and you can associate yourself with one or more of the questions above, then this course is for you. Scenarios like the ones mentioned above occur on a daily basis, and they can cause quite a bit of headache for the analyst. Tableau has many great tools and functions including table calculations that make everyday life easier for the data scientist.

One strong point of the software is its responsiveness. Plotting measures against variables has never been easier: each change to the shelves is instantly and automatically applied on the view - a great environment to interact with the data. This strong point, however, can easily be turned into a weakness, if you want your analysis to step out of the borders of the view level of detail.

In Tableau, to solve classic analytical problems (such as cohort analysis, retention analysis or binning aggregates by dimensions), or to proceed with special filtering scenarios (like proportional brushing or relative comparisons) you need to be familiar with a special tool set called the level of detail (LOD) expressions.

In this course, you will learn about the general mechanics of LOD expressions both in theory and practice. We start from the very basics and then we proceed to more advanced techniques in a stepwise manner. If you are not familiar with the concept of LOD expressions yet, but you are already a Tableau user, then taking this course will most probably improve your analytical skills and broaden your tool set.

After completing this course, you will be able to solve all above mentioned analytical challenges and even more, because LOD expressions let the analyst come up with creative solutions for custom scenarios. Instead of asking the questions you can be the one in the office who always has a practical answer or a constructive idea. Take a look at the content of this course, and I bet you won’t regret it.

Who this course is for:
  • Tableau users who want to unlock new analytical skills
  • Tableau users who want to better understand the usage of level of detail expressions
  • This course is not for absolute Tableau beginners
Course content
Expand all 45 lectures 06:13:15
+ Introduction to the Course
7 lectures 33:59
Datasets Used
Course Inventory
Calculation Types in Tableau
What Is the Level of Detail?
How Do LOD Expressions Help?
+ The Basics of Level of Detail Expressions
14 lectures 01:56:08
The INCLUDE Expression
The EXCLUDE Expression
The FIXED Expression
Calculation Results and the View LOD - Comparison of Expressions
Filters and Outcomes - Comparison of Expressions
Finding Dates with LOD Calculations
Table Scoped LOD Expressions
Declaring Date Parts in an LOD Expression
Adjusting the Timeline with LOD Expressions
Exercise Assignment - German Gas Stations
Exercise Solution - German Gas Stations
Testing and Debugging
+ Intermediate and Advanced LOD Projects
16 lectures 02:30:50
Binning Measures with LOD Calculations - Binning Aggregates I
Conditional Binning - Binning Aggregates II.
Creating Custom Cohorts - Cohort Analysis I.
Tracking User Retention - Cohort Analysis II.
User Retention and Non-Consecutive Behavior - Cohort Analysis III.
Data Density Issues - Proportional Brushing II.
Relative Comparison - Proportional Brushing III.
Market Basket Analysis - Proportional Brushing IV.
Exercise: Vehicles
Benchmark Performance Alerts
Switching Between High and Low LODs - Benchmark Performance Alerts II.
Changing the LOD of Maps - Changing the View LOD II.
Leveraging on Parameters - Changing the View LOD III.
Exercise: Proportional Brushing
+ Nested LOD Expressions
8 lectures 01:12:18
The Rules of Nesting LOD Expressions
Comparison of Results
Combining the EXCLUDE and INCLUDE Expressions
Combining the FIXED and INCLUDE Expressions
Revisiting the Data Structure
Exercise: Nested LOD Expressions