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Tableau: Presenting Analytic Visualisations

Empower your organisation by utilising self-service BI platforms to work with data analytics and gain access to critical business information. In this big data training course, you will develop visualisations from data models that use real-time data, build and publish interactive dashboards with Tableau, and gain exposure to a broad range of data sources, including big data frameworks.

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Learning Objectives

You Will Learn How To

  • Create interactive visualisations to deliver business insights
  • Extract business intelligence by adding value to your data
  • Integrate data from multiple heterogeneous sources
  • Generate Tableau maps for geographical data
  • Share a story using dashboards to highlight your discoveries

Course Content

Course Outline

Getting Started with Tableau

Employing visual analysis and analytics

  • Appreciating the impact of Big Data on visualisation
  • Handling large volumes of data
  • Presenting visualisations to analysts and business users

Exploring Tableau

  • Utilising the Tableau interface components
  • Distinguishing measures and dimensions
  • Generating basic visualisations

Data Visualisations for Business Intelligence

Accessing a single data source

  • Extracting data from Excel and text files 
  • Pulling data from Microsoft Access 

Working with marks and views

  • Applying different Views for finding value
  • Categorising data with Marks

Graphing data

  • Constructing a histogram
  • Filtering to reduce volume of data 
  • Sorting to impose order  
  • Organising data by grouping 

Loading Data into Tableau

Modifying the Tableau data schema

  • Declaring data types 
  • Aliasing column headings
  • Resolving issues with the Data Interpreter
  • Contrasting live connections versus extracts

Importing from multiple data sources

  • Reading Excel and text files
  • Integrating a Microsoft Access table
  • Executing a database join

Connecting to an enterprise database

  • Selecting data from a relational database
  • Consuming data from a big data framework 

Combining data with joins and blends

  • Joining heterogeneous tables 
  • Integrating sources by blending data 

Building Advanced Visualisations

Leveraging visualisation techniques

  • Generating Crosstabs and Pivot Tables 
  • Establishing hierarchies and drilling down 
  • Defining sets and subsets 
  • Dividing the view into pages

Applying parameters

  • Slicing a view with filers
  • Specifying data with a selector

Charting with advanced features

  • Reviewing available chart templates 
  • Employing combination charts
  • Exploiting trends and moving averages

Leveraging Table Calculations

Calculated fields

  • Formulating a calculation to enhance data
  • Identifying calculation types

Table calculations

  • Implementing quick table calculations
  • Editing table calculations for a refined data view
  • Creating level of detail calculations

Representing Locations with Tableau Maps

Mapping geographic data

  • Plotting latitude and longitude
  • Adding points manually 

Surveying map types

  • Categorising with the symbol map and filled map
  • Customising regions with polygon maps

Presenting Insights

Authoring dashboards

  • Assembling dashboards from views
  • Linking the views for interaction

Narrating a story

  • Illustrating discoveries with a story
  • Capturing story points within the dashboards

Disseminating Visualisations

  • Sharing your workbook
  • Publishing to the cloud 
  • Deploying your workbook to Tableau Server
  • Administering the server

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