Home Tableau Training CoursesTableau Prep Builder Training (TTP101)

Tableau Prep Builder Training (TTP101)

Guaranteed to Run
Price
$1,800.00
Duration
2 Days
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
EST
Description
Objectives
Prerequisites
Content
Course Description

Data preparation often takes up to 80% of a data analyst’s time, leaving less room for meaningful analysis. Tableau Prep Training changes that by teaching you how to quickly combine, shape, and clean data for analysis in Tableau.

Through guided, hands-on exercises, you’ll learn to streamline data preparation tasks, automate workflows, and ensure your datasets are accurate and analysis-ready. By the end, you’ll be able to save time, reduce errors, and create trusted data flows that fuel better business decisions.

Course Objectives

This course equips you with the practical skills needed to clean, combine, and shape data efficiently in Tableau Prep Builder, so you can focus on analysis instead of wrangling messy datasets.

  • Prepare and clean data using quick-cleaning operations, filters, and calculated fields
  • Combine data sources effectively with unions, joins, and grouping
  • Shape data through pivots and aggregations for deeper analysis
  • Validate preparation steps and generate outputs ready for Tableau dashboards
  • Apply real-world data preparation techniques to streamline workflows and improve accuracy
Who Should Attend?

This course is designed for analysts, business users, and consultants who are responsible for managing data with Tableau Prep Builder. Students should have at least three months of experience creating calculations in Tableau.

Course Prerequisites

Prepare for your course by completing this prework before your session starts: https://trailhead.salesforce.com/en/content/learn/trails/tour-the-tableau-environment

Course Content
Module 1: Introduction to Tableau Prep Builder
Module 2: Data Connection and Exploration
Module 3: Data Cleansing
Module 4: Data Combination
Module 5: Data Shaping
Module 6: Data Previews and Sharing
Module 7: Data Sampling
Module 8: Data Preparation
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