Learning Tableau 2019

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

Learning Tableau 2019 course and lab will help you gain an understanding of Tableau concepts and methodologies. Lab simulates real-world, hardware, software, and command-line interface environments and can be mapped to any text-book, course, or training. With this Tableau training, you will be able to work with the updated features, such as set actions and transparent views. You can create visualizations with Tableau along with bar charts, treemaps, scatterplots, time series, and more.

Skills You’ll Get

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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