Raw data is rarely analysis-ready. Before a single chart gets built, the real work happens upstream, cleaning messy fields, reshaping wide tables, handling nulls, and joining sources correctly. This session is dedicated entirely to that critical first step.

Join us as Farhan Ahmed, Founder of Automation & Analytics, walks you through Tableau Prep from the ground up — with practical, hands-on techniques you can apply to your own data pipelines immediately.

Whether you're building dashboards in Tableau Desktop or delivering data to your team, what you do in Prep determines the quality of everything downstream.

What You Will Learn

• What Tableau Prep Builder is and how it fits into your analytics workflow

• How to connect to and combine multiple data sources using joins and unions

• Cleaning techniques — fixing data types, renaming fields, filtering noise, and handling nulls

• How to reshape data: pivoting columns to rows and rows to columns

• Building reusable, scheduled Prep Flows for automated data pipelines

• Common real-world data quality issues and how to fix them in Prep

• When to prep data in Tableau Prep vs. doing it at the source