•  What is data visualization?
•  Comparison and benefits ofreading raw numbers
•  Real usage examplesfrom various business domains
• Some quick powerful examples using Tableau withoutgoing into
  the technical details of Tableau
• Installing Tableau
•  Tableau interface connecting to Data Source
•  Tableau Data Types
•  Data preparation

•  Installation of TableauDesktop
• Architecture of Tableau
  The interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane etc)
• How to start with Tableau?
• Ways to share and exporting the work done in Tableau

Hands-on exercises

• Play with the tableau
  desktop
•  Interface to learn its user interface
• Share an existing work Export an existing work

• Connection to Excels, PDFs, and Cubes
•  Managing Metadata and Extracts
•  Data Preparation and dealing with NULL values
•  Different types of Data Joins (Inner, Left, Right, Outer)and Union
•  Cross-Database joining
•  Data Blending
•  Data extraction
•  Refresh extraction
•  Incremental extraction
•  How to build extract?

Hands-on exercises

• Connect to an excel sheetand import data
•  Use metadata and extracts
•  Handle NULL values
•  Clean up the data before the
  actual use
•  Perform various join
  techniques
•  Perform data blending from
  more than one sources

• Marks
•  Highlighting
•  Sort and Group
•  Working with Sets (Creation of sets, Editing sets, IN/OUT,Sets in Hierarchies)
•  constant sets, computed Sets, and bins

Hands-on exercises

• Create and edit sets using
  Marks
• Highlight desired items
•  Make groups, Applying
  sorting on the result
•  Make hierarchies in the
  created set

• Filters (Addition and Removal)
• ❖ Filtering continuous dates, dimensions, measures
•  Interactive Filters, marks card, and hierarchies
•  How to create folders in Tableau?
•  Sorting in Tableau
• Types of sorting
•  Filtering in Tableau
•  Types of filters
•  Filtering order of operations

Hands On Exercices

• Add Filter on dataset by
  date/dimensions/measure
•  Use the interactive filter to
  views
•  Remove some filters to seethe
  result

• Formatting Data (Labels, Annotations, Tooltips, Editaxes)
•  Formatting Pane (Menu, Settings, Font, Alignment, Copy-Paste)
•  Trend and Reference Lines
•  Forecasting
•  k-means Cluster
•  Analysis in Tableau
•  Visual analytics in Tableau
•  Reference lines and bands
•  Confidence interval

Hands-on exercises

• Plot latitude and
  longitudeon geo map
•  Edit locations on the map
•  Create custom geocoding
•  Use images of a map
  andplot points on it
•  Find coordinates in
  theimage
•  Create a polygon map
•  Use WMS

• Calculation Syntax and Functions in Tableau
•  Types of Calculations (Table, String, Logic, Date, Number,Aggregate)
•  LOD Expressions(concept and syntax)
•  Aggregation and Replication with LOD Expressions
•  Nested LOD Expressions
•  Level of Details
•  Fixed Level of Details
•  Lower Level of Details
•  Higher Level of Details
•  Quick Table Calculations
•  How to create Calculated Fields?
•  Predefined Calculations and how to validate?

• Create Parameters
• Parameters in Calculations
•  Using Parameters with Filters
•  Column Selection Parameters
•  Chart Selection Parameters
•  How to use Parameters in Filter Session?
•  How to use parameters in Calculated Fields?
•  How to use parameters in Reference Line?

Hands on exercises

• Create new parameters to
  apply on a filter
•  Pass parameters to filters to
  select columns
•  Pass parameters to filters to
  select charts

• Dual Axes Graphs
•  Histogram (Single and Dual Axes)
•  Box Plot
•  Pareto Chart
•  Motion Chart
•  Funnel Chart
•  Waterfall Chart
•  Tree Map
•  Heat Map
•  Market Basket analysis
•  Using Show me
•  Types of Charts
•  Text Table
• Heat map
•  Highlighted Table
•  Pie Chart
• Tree map
•  Bar chart
•  Line Chart
•  Bubble Chart
•  Bullet chart
•  Scatter Chart
• Dual Axis Graphs
•  Funnel Charts
•  Pareto Chart
•  Maps
•  Hands-on Lab
•  Assignment
•  Funnel Chart
•  Waterfall

Hands on Exercises

• Plot a histogram
•  Heat map, tree map, funnel chart and others using the
  same data set,
•  Do market basket analysis
  on a given dataset

• Build and Format a Dashboard (Size, Views, Objects,Legends, and Filters)
•  Best Practices for Creative and Interactive Dashboardsusing Actions
•  Create Stories (Intro of Story Points, Creating andUpdating Story Points,
  Adding Visuals in Stories, Annotations with Description).
• Dashboards & Stories
•  what is Dashboard
•  Filter Actions
•  Highlight Actions
•  URL Actions
•  Selecting & Clearing values
•  Dashboard Examples, Best Practices in CreatingDashboards
•  Tableau Workspace
•  Tableau Interface
•  Tableau Joins
•  Types of Joins
•  Live vs. Extract Connection
•  Tableau Field Types
•  Saving and Publishing Data Source
•  File Types

Hands on Exercises

• Create a dashboard view
•  Include objects, legends, and filters
•  Make the dashboard interactive
•  Create and edit a story with
  visual effects, annotation, description

• Introduction to R Language
•  Applications and Use Cases of R
•  Deploying R on Tableau Platform
•  Learning R functions in Tableau; Integration with Hadoop

Hands on Exercises

• Deploy R on the tableau
•  Create a line graph using R
  interface
•  Connect tableau with
  Hadoop and extract data