Advanced Tableau Business Intelligence

Overview
Tableau is a software tool that can speed up data analysis through its rich visualization capabilities, and help uncover insights for better and smarter decision making. This class is for the business, technology, data and analytics professionals who use and analyze data and data-driven approaches to support business operations and strategic initiatives in their organizations.

This class provides easy-to-follow recipes to get the participants up and running with Tableau, and covers basic to advanced use cases and scenarios. The class starts with building basic charts in Tableau and moves on to building more complex charts by incorporating different Tableau features and interactivity components. There is an entire module dedicated to dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered.

By the end of this class, you’ll have gained confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau.

Prerequisites
For this class, you should have taken or had the experience from the topics presented in Tableau Basic and Intermediate. Specifically,  someone taking the Advanced Tableau Business Intelligence should be able to create basic charts, without using the Show Me  wizard  knowledge of different data types; know the difference between Dimensions and Measures; know how to filter data.

Course Objectives  

What You Will Learn 

• Become familiar with the Tableau interface 
• Build basic to more advanced charts with step-by-step recipes 
• Use filters, calculated fields, parameters, and actions to add interactivity to  
  charts and dashboards 
• Prepare and transform data for analysis using Tableau’s built-in tools and  
  functions 
• Create effective and compelling dashboards and story points 
• Leverage Tableau’s mapping capabilities to visualize location and shape data 
• Integrate analytics and forecasting to enhance data analysis 
• Get to know tips and tricks to work more quickly and effectively in Tableau 
• Increase your confidence and competence in creating rich, interactive visualizations in Tableau

• Course Outline
  
  PART 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
  
  PART 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
  
  PART 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
  
  PART 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
  
  PART 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
  
  PART 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
  
  PART 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