Tableau Training Module

Tableau

Tableau desktop
  • Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more.
  • Tableau server
  • Tableau Server is a business intelligence application that provides browser-based analytics anyone can use. It’s a rapid-fire alternative to the slow pace of traditional business intelligence software.
  • Tableau online
  • Tableau Online is a hosted version of Tableau Server. It makes rapid-fire business analytics easier than ever. Share dashboards with your whole company and with customers and partners—in minutes. Provide live, interactive views of data that let people answer their own questions, right in a web browser or on a tablet. And do it in a secure, hosted environment.
  • Tableau public
  • Tableau Public is for anyone who wants to tell stories with interactive data on the web. It’s delivered as a service that allows you to be up and running overnight. With Tableau Public you can create amazing interactive visuals and publish them quickly, without the help of programmers or IT.
  • Duration

    40 Hours

    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

    You have gone through all the training and reading material, since you decided to choose your career. This might have given you initial understanding about the procedures and techniques and you are even able to pass your certification as well ...

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