Our Tableau training course shows Data Analysts how to use this flexible and easy to use package to enable you to find, clean, model, and visualize data, share discoveries, and collaborate in intuitive new ways.
This course will walk you through the basics of this product, demonstrating functionality and letting you get hands on and learn to use this powerful tool to help you transform your rows of data into a compelling interactive visual story.
Fundamentally it is the unbeatable value that this technology has efficiently provided to its users though its interactive, user-friendly and comprehensible interface.
“Customers are turning to Tableau for fast, agile, visual analytics that provide people with the ability to ask and answer their own questions,”-Christian Chabot, CEO of Tableau
Business Analysts, Financial Analysts, Data Scientists and Staff who need to use Tableau for producing reports from Excel, SQL Server and other databases.
Learn to build Dashboards like this - Typically used for CFO Dashboards, Revenue & Profitability, Expense Management, Financial Planning & Analysis, Sales, Stock Control, Risk & Compliance Analysis...
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
Utilising the Tableau interface components
Distinguishing measures and dimensions
Generating basic visualisations
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
Constructing a histogram
Filtering to reduce volume of data
Sorting to impose order
Organising data by grouping
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
Leveraging visualisation techniques
Generating Crosstabs and Pivot Tables
Establishing hierarchies and drilling down
Defining sets and subsets
Dividing the view into pages
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
Formulating a calculation to enhance data
Identifying calculation types
Implementing quick table calculations
Editing table calculations for a refined data view
Creating level of detail calculations
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
Assembling dashboards from views
Linking the views for interaction
Narrating a story
Illustrating discoveries with a story
Capturing story points within the dashboards
Sharing your workbook
Publishing to the cloud
Deploying your workbook to Tableau Server
Administering the server
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