Advanced Calculations in Tableau
What you'll learn
- Understanding and leveraging Table Calculations
- Understanding and leveraging Level-of-Detail (LOD) Expressions
- Intermediate / Advanced Tableau Concepts
- 6-12 Months of Tableau Desktop Experience
- Tableau Desktop / Tableau Public Installed
Tableau Desktop is often referred to as the Gold Standard for Data Visualization, Data Discovery and Self-Service Data Analytics, and caters for all users from IT Practitioners, to Data Scientists, to Data Consumers.
One of the area's people shy away from (to their detriment) is learning about the vast power of Advanced Calculations in Tableau; through understanding these advanced calculations and associated concepts, you will further enhance your ability to translate your requirements into amazing dashboards. Plus, these are the advanced questions asked at interviews and too often seem as a gauge for identifying your skill level in Tableau.
In this course, we will learn about Table Calculations and Level-of-Detail (LOD) Expressions.
Who this course is for:
- Tableau Developers who want to enhance their knowledge
- Tableau Enthusiasts who want to push boundaries
Toan Hoang has over 18 years of experience in Business Intelligence, Data Management, Big Data, Data Lakes, the Internet of Things (IoT), Data Visualisation and the Data Analytics space. Toan has delivered solutions with a broad variety of tools including Tableau (2020 and 2021 Tableau Zen Master), Microsoft (SSAS, SSIS, SSRS and Power BI), Looker, SAP BusinessObjects and Open Source.
Toan is the Founder and Managing Partner of Simplified Insights which provides services in Data Strategy, Data Management, Data Education and Data Analytics and Visualisation.
Toan's past client list is extensive and includes Telefonica, Lloyds Banking Group, BNP Paribas, Schroders, JUST EAT, UBS, and many many more. More recently, Toan has been instrumental in the adoption of Tableau through the formation of Centers of Excellence (COE), enterprise installation and configuration, and organisational training and data literacy.