Advanced Tableau - LOD Calculations

Advanced Tableau – Level of Detail Calculations Overview

This Advanced Tableau course provides next-level training to be able to prep and display data in an efficient way.

In this course, you’ll utilize Tableau to break down and solve the types of business problems that BI analysts and financial analysts typically face. This course will open the hood of Tableau’s SQL processing to give you a deeper understanding of how these calculations work. You’ll also be applying what you learn to 7 different business scenarios, which we hope you’ll publish into a Tableau Public profile to show off your work.

By the end, you’ll have a deeper understanding of Tableau and the confidence to tackle a huge variety of problems.

Advanced Tableau – LOD Calculations Learning Objectives

Upon completing this course, you will be able to:

• Define level of detail and other critical concepts

• Identify the grain and level of detail of a data set

• Troubleshoot common errors

• Apply fixed, include, and exclude LOD calculations to business scenarios

• Identify how different LODs are affected by context and dimension filters

• Compare LOD calculations to table calculations

Who should take this course?

Tableau – LOD Calculations is an elective course of CFI’s BIDA™ program

This course is part of CFI’s Business Intelligence & Data Analyst (BIDA)™ Program. This program covers all the basic, intermediate, and advanced topics about business intelligence and data analysis. The program also includes several case studies to allow students to practice skills and tasks on sample data. This program teaches the quantitative methods used in the finance and capital markets industry. It is ideal for students who want to learn how to analyze complex data. The program is completely online so you can take it at your own pace, anywhere in the world.

Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.