Tableau Prep Builder: Working with Steps


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Flows are made up of fields and steps, and Tableau Prep Builder offers a huge variety of powerful tools for cleaning, preparing, and manipulating your data. In this 11-video course, discover how to add steps to clean, union, join, and pivot your data, apply a variety of different filters, and use Flow pane and Flow Navigator. Begin by learning how to add Clean steps to start cleaning and performing operations on data, then work with fields and manage their properties in Tableau Prep Builder. Explore how to build and organize Flows by working with steps, and reorganize the layout of Flows. Then observe how to filter data and use advanced filter options. Examine steps involved in joining data and working with unions in Tableau Prep Builder. Learn how to use pivots to analyze and convert fields from columnar structure to row structure; how to use a wildcard search to pivot large data sets or data that frequently changes over time; and finally, observe how to pivot rows to columns when data is too normalized.



Expected Duration (hours)
0.8

Lesson Objectives

Tableau Prep Builder: Working with Steps

  • add Clean steps to start cleaning and performing operations on data
  • work with fields and manage their properties in Tableau Prep Builder
  • build and organize Flows by working with steps
  • reorganize the layouts of Flows
  • demonstrate one-click data filtering and basic filter parameters using Tableau Prep Builder
  • demonstrate data range filtering, relative date filters, wildcard filters, and calculated filters in Tableau Prep Builder
  • demonstrate the steps involved in Tableau Prep Builder to join data
  • work with unions in Tableau Prep Builder
  • use pivots to analyze and convert fields from a columnar structure to a row structure
  • use a wildcard search to pivot large data sets or data that frequently changes over time
  • pivot rows to columns when data is too normalized
  • Course Number:
    ds_tblprp_02_enus

    Expertise Level
    Intermediate