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Learning Tableau 2019

The Tableau training for beginners to sharpen your edge, and polish your data visualization skills.

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

Enroll in our Tableau Training and train to turn raw data into sharp decisions.

In this course, get hands-on with Tableau 2019’s latest tools. Build stunning dashboards, create smart visualizations, and shape data stories that speak louder than slides. Explore everything from the cycle of analytics and live data connections to advanced charts, LOD calculations, and dashboard interactivity that works across devices.

From the basics to Tableau Prep and pro-level tricks, you’ll move fast through real-world challenges, clean messy data, and design dashboards that don’t just look good…they work hard.

Skills You’ll Get

  • Data Visualization Design – Build compelling charts, graphs, and dashboards that clearly communicate data insights.
  • Interactive Dashboard Development – Create user-friendly, dynamic dashboards optimized for different devices and audiences.
  • Data Preparation and Cleaning – Use Tableau Prep to clean, structure, and transform messy datasets for effective analysis.
  • Calculated Fields and LOD Expressions – Apply row-level, aggregate, and Level of Detail calculations to enhance data insights.
  • Advanced Charting Techniques – Develop complex visualizations such as scatterplots, treemaps, dual-axis charts, and custom visuals.
  • Predictive and Statistical Analytics – Use built-in features like forecasting, clustering, and trend analysis to support data-driven decisions.
Download Course Outline

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

Any questions?
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You can learn Tableau basics in 1–2 weeks with consistent practice, while mastering advanced features may take 1–2 months depending on your pace and data background.

Yes, Tableau is generally easier for creating visual dashboards and exploring data, though Excel offers more flexibility for calculations and manual data handling.

Yes, Tableau uses SQL to query data behind the scenes, and you can write custom SQL queries when connecting to databases or creating calculated data sources.

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