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Tableau Training in Chennai


Course Duration

40 Hours Sign in with Facebook Sign in with Facebook

Course Contents

Tableau
    Creating Your First Visualizations and Dashboard
  • Connecting to data in Access
  • Foundations for building visualizations
  • Visualizing data
  • Bar charts
  • Extending bar charts for deeper analysis
  • Line charts
  • Extending line charts for deeper analysis
  • Geographic visualizations
  • Filled maps
  • Symbol maps
  • Using Show Me
  • Bringing everything together in a dashboard
  • Building your dashboard
  • Summary
  • Working with Data in Tableau
  • The Tableau paradigm
  • A simple example
  • Connecting to data
  • Connecting to data in a file
  • Connecting to data on a server
  • Connecting to data in the cloud
  • Shortcuts for connecting to data
  • Working with extracts instead of live connections
  • Creating extracts
  • Using extracts
  • Performance
  • Portability and security
  • When to use an extract
  • Metadata and sharing data source connections
  • Customizing a data source
  • Sharing a data source
  • An example of customizing and sharing a connection
  • Joins and blends
  • Joining tables
  • Blending data sources
  • A blending example
  • Filtering data
  • Filtering discrete (blue) fields
  • Filtering continuous (green) fields
  • Filtering dates
  • Other filtering options
  • Summary
  • Moving from Foundational to Advanced Visualizations
  • Comparing values across different dimensions
  • Bar charts
  • Bar chart variations
  • Bullet charts – showing progress toward a goal
  • The bar-in-bar chart
  • Highlighting a single category
  • Visualizing dates and times
  • The built-in date hierarchy
  • Variations in date and time visualizations
  • Gantt charts
  • Relating parts of the data to the whole
  • Stacked bars
  • Treemaps
  • Area charts
  • Pie charts
  • Visualizing distributions
  • Circle charts
  • Jittering
  • Box and whisker plots
  • Histograms
  • Visualizing multiple axes to compare different measures
  • Scatterplots
  • Dual Axis
  • Combination charts
  • Summary
  • Using Row-level and Aggregate Calculations
  • Creating and editing calculations
  • Three levels of calculation
  • A row-level example
  • An aggregate-level example
  • Row level or aggregate – why does it matter?
  • Parameters
  • Creating parameters
  • Practical examples of calculations and parameters
  • Fixing data issues
  • Extending the data
  • Enhancing user experience, analysis, and visualizations
  • Achieving flexibility with data blends
  • Ad hoc calculations
  • Performance considerations
  • Summary
  • Table Calculations
  • An overview of table calculations
  • Creating and editing table calculations
  • Quick table calculations
  • Scope and direction
  • Working with scope and direction
  • Addressing and partitioning
  • Advanced addressing and partitioning
  • Advanced table calculations
  • Practical examples
  • Moving Average
  • Ranking within higher levels
  • Late filtering
  • Last occurrence
  • Summary
  • Formatting a Visualization to Look Great and Work Well
  • Formatting considerations
  • How formatting works in Tableau
  • Worksheet-level formatting
  • Field-level formatting
  • Additional formatting options
  • Adding value to visualizations
  • Tooltips
  • Summary
  • Telling a Data Story with Dashboards
  • Dashboard objectives
  • Example – is least profitable always unprofitable?
  • Building the views
  • Creating the dashboard framework
  • Implementing actions to tell the story
  • How actions work
  • Filter actions
  • Highlight actions
  • URL actions
  • Example – a regional scorecard
  • Story points
  • Summary
  • Adding Value to Analysis – Trends, Distributions, and Forecasting
  • Trends
  • Customizing trend lines
  • Trend models
  • Analyzing trend models
  • Distributions
  • Forecasting
  • Summary
  • Making Data Work for You
  • Structuring data for Tableau
  • Good structure – tall and narrow instead of short and wide
  • Good structure – star schemas (data mart / data warehouse)
  • Dealing with data structure issues
  • Restructuring data in Tableau connections
  • Working with poorly shaped data in visualizations
  • Working with an incorrect level of detail
  • An overview of advanced fixes for data problems
  • Summary
  • Advanced Techniques, Tips, and Tricks
  • Sheet swapping and dynamic dashboards
  • Dynamically showing and hiding other controls
  • Leveraging sets to answer complex questions
  • Answering complex questions
  • Mapping techniques
  • Supplementing the standard geographic data
  • Customizing a geographic view
  • Some final mapping tips
  • Using background images
  • Summary
  • Sharing Your Data Story
  • Presenting
  • Printing
  • Exporting
  • Sharing a workbook with users of Tableau Desktop or Tableau Reader
  • Sharing data with users of Tableau Server, Tableau Online, and Tableau Public
  • Publishing to Tableau Public
  • Publishing to Tableau Server and Tableau Online
  • Interacting with Tableau Server
  • Additional distribution options using Tableau Server
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