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Learning Tableau 2019

(INTRO-TABLEAU.AJ1) / ISBN : 978-1-64459-221-2
Lessons
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About This Course

Skills You’ll Get

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1

Introduction

  • Who this course is for?
  • What this course covers?
  • To get the most out of this course
  • Download the example code files
  • Conventions used
2

Taking Off with Tableau

  • The cycle of analytics
  • Connecting to data
  • Foundations for building visualizations
  • Visualizing data
  • Putting everything together in a dashboard
  • Summary
3

Working with Data in Tableau

  • The Tableau paradigm
  • Connecting to data
  • Managing data source metadata
  • Working with extracts instead of live connections
  • Tableau file types
  • Joins and blends
  • Filtering data
  • Summary
4

Venturing on to Advanced Visualizations

  • Comparing values
  • Visualizing dates and times
  • Relating parts of the data to the whole
  • Visualizing distributions
  • Visualizing multiple axes to compare different measures
  • Summary
5

Starting an Adventure with Calculations

  • Introduction to calculations
  • Row-level calculations
  • Aggregate-level calculations
  • Level of detail calculations
  • Parameters
  • Practical examples of calculations and parameters
  • Ad hoc calculations
  • Performance considerations
  • Summary
6

Diving Deep with Table Calculations

  • An overview of Table Calculations
  • Quick Table Calculations
  • Relative versus fixed
  • Custom Table Calculations
  • Practical examples
  • Data densification
  • Summary
7

Making Visualizations That Look Great and Work Well

  • Visualization considerations
  • Leveraging formatting in Tableau
  • Adding value to visualizations
  • Summary
8

Telling a Data Story with Dashboards

  • Key concepts for dashboards
  • Designing dashboards in Tableau
  • Dashboard example – is least profitable always unprofitable?
  • Designing for different displays and devices
  • How actions work
  • Dashboard example – regional scorecard
  • Stories
  • Summary
9

Digging Deeper - Trends, Clustering, Distributions, and Forecasting

  • Trends
  • Clustering
  • Distributions
  • Forecasting
  • Summary
10

Cleaning and Structuring Messy Data

  • Structuring data for Tableau
  • Dealing with data structure issues
  • Overview of advanced fixes for data problems
  • Summary
11

Introducing Tableau Prep

  • Getting prepped to explore Tableau Prep
  • Understanding the Tableau Prep Builder Interface
  • Flowing with the fundamental paradigm
  • Summary
12

Advanced Visualizations, Techniques, Tips, and Tricks

  • Advanced visualizations
  • Sheet swapping and dynamic dashboards
  • Mapping techniques
  • Using background images
  • Animation
  • Transparency
  • Summary
13

Sharing Your Data Story

  • Presenting, printing, and exporting
  • Sharing with users of Tableau Desktop or Tableau Reader
  • Sharing with users of Tableau Server, Tableau Online, and Tableau Public
  • Summary

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