Enroll in all 3 of our instructor-led Tableau classes and save $330. This course package includes:
Tableau Desktop: Basic (Days 1 & 2)
Taking Off with Tableau (1)
Taking Off with Tableau
Foundations for building visualizations
Visualizing data
Using Show Me
Putting everything together in a dashboard
Summary
Connecting to Data in Tableau (2)
Connecting to Data in Tableau
The Tableau paradigm
Connecting to data
Managing data source metadata
Working with extracts instead of live connections
Using sets and groups
Filtering data
Summary
Moving Beyond Visualizations (3)
Moving Beyond Basic 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
Starting an Adventure with Calculations and Parameters (4)
Starting an Adventure with Calculations and Parameters
Introduction to calculations
Row-level calculations
Aggregate calculations
Parameters
Practical examples of calculations and parameters
Performance considerations
Summary
Making Visualizations that Look Great and Work Well (7)
Making Visualizations that Look Great and Work Well
Visualization considerations
Leveraging formatting in Tableau
Adding value to visualizations
Summary
Telling a Data Story with Dashboards (8)
Telling a Data Story with Dashboards
Introduction to dashboards
Designing dashboards in Tableau
A dashboard to understand profitability
Designing for different displays and devices
Interactivity with actions
A regional scorecard dashboard
Stories
Summary
Sharing Your Data Story (17)
Sharing Your Data Story
Presenting, printing, and exporting
Sharing with users of Tableau Desktop and Tableau Reader
Sharing with users of Tableau Server, Tableau Cloud, and Tableau Public
Summary
Deep Dive with Table Calculations (6)
Diving Deep with Table Calculations
An overview of table calculations
Creating and editing table calculations
Quick table calculations
Fundamental table calculation concepts
Custom table calculations
Practical examples
Summary
Tableau Desktop: Advanced (Days 3 & 4)
Taming Data with Tableau Prep (16)
Taming Data with Tableau Prep
Getting ready to explore Tableau Prep Builder
Understanding the Tableau Prep Builder interface
Flowing with the fundamental paradigm
Using parameters in Tableau Prep Builder
Options for automating flows
Summary
Leveraging Level of Detail (5)
Leveraging Level of Detail Calculations
Overview of level of detail
Level of detail calculations
Examples of fixed level of detail calculations
Examples of include level of detail expressions
Example of exclude level of detail calculations
Summary
Viewing Analytics: Trends, Clustering, Distributions and Forecastin (9)
Visual Analytics: Trends, Clustering, Distributions, and Forecasting
Trends
Explain Data
Clustering
Distributions
Forecasting
Summary
Advanced Visualizations (10)
Advanced Visualizations
Advanced visualizations – when and why to use them
Slope charts and bump charts
Waterfall charts
Step lines and jump lines
Sparklines
Dumbbell charts
Unit/symbol charts
Marimekko charts
Animated visualizations
Enhancing analysis with animation
Enhancing data storytelling with animation
Summary
Dynamic Dashboards (11)
Dynamic Dashboards
Show/Hide buttons
Sheet swapping
Basic principles of sheet swapping
Using sheet swapping to change views on a dashboard
Automatically showing and hiding other controls
Summary
Exploring Mapping and Advanced Geospatial Features (12)
Exploring Mapping and Advanced Geospatial Features
Overview of Tableau maps
Rendering maps with Tableau
Using geospatial data
Leveraging spatial functions
Creating custom territories
Map layers
Tableau mapping – tips and tricks
Plotting data on background images
Summary
Integrating Advanced Features: Extensions, Scripts, and AI (13)
Integrating Advanced Features: Extensions, Scripts, and AI
Tableau Dashboard Extensions
Tableau analytics extensions
AI with CRM Analytics (Einstein Discovery)
Summary
Understanding the Tableau Data Model, Joins, and Blends (14)
Understanding the Tableau Data Model, Joins, and Blends
Explanation of the sample data used in this chapter
Exploring the Tableau data model
Using joins
Using blends
When to use a data model, joins, or blends
Summary
Structuring Messy Data to Work Well in Tableau (15)
Structuring Messy Data to Work Well in Tableau
Structuring data for Tableau
The four basic data transformations
Overview of advanced fixes for data problems
Summary
Tableau Desktop: Business Intelligence (Days 5 & 6)
1: BASIC CHARTS
Introduction
Creating a bar chart
Creating a stacked bar chart
Creating a line chart
Creating a scatter plot
Creating a heat map
Creating a text table (crosstab)
Creating a highlight table
Creating an area chart
Creating a pie chart
Creating a bubble chart
Creating a word cloud
Creating a tree map
2: ADVANCED CHARTS
Introduction
Creating a histogram
Creating a small multiple chart
Creating a shared axis chart
Creating a combo chart (dual axis chart)
Creating a bullet chart
Creating a bar in bar chart
Creating a donut chart
Creating a unit chart
Creating a box and whisker chart
Creating a sparkline with indicators
Creating a KPI text table
Creating a waterfall chart
Creating a population pyramid
3: INTERACTIVITY
Introduction
Creating a motion chart
Creating a dynamic column/row trellis chart
Creating a top/bottom N filter
Comparing one to everything else
Dynamically displaying dimensions
Dynamically displaying and sorting measures
Creating a custom date period filter
4: DASHBOARDS AND STORY POINTS
Introduction
Creating a filter action
Creating a highlight action
Creating a URL action
Creating an Infographic-like dashboard
Creating story points
5: MAPS AND GEOSPATIAL VISUALIZATION
Introduction
Adding data layers to map
Creating custom territories
Working with Web Map Service (WMS)
Using path to display movement in map
Mapping custom polygons
Importing custom geocoding
Using a custom image background
6: ANALYTICS
Introduction
Adding a constant line
Adding a trend line
Using a reference line
Adding a reference band
Performing cluster analysis
Visualizing forecast
Performing linear regression with R
7: DATA PREPARATION
Introduction
Using the Data Interpreter and pivot
Using the legacy Jet driver
Using schema.ini to resolve data type issues
Pivoting columns
Using union
Using join
Using blend