651-905-3729 Microsoft Silver Learning Partner EC Counsel Reseller compTIA Authorized Partner

Tableau Visual Analytics Virtual Classroom Live December 04, 2024

Price: $2,650

This course runs for a duration of 3 Days.

The class will run daily from 9:00 AM EST to 4:30 PM EST.

Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.

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Description

In this Tableau Visual Analytics course, you will learn to empower your organization by utilizing self-service BI platforms to work with data analytics and gain access to critical business information.

You Will Learn How To

  • Create interactive visualizations 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
  • Learn to develop visualizations from data models that use real-time data
  • Build and publish interactive dashboards
  • Gain exposure to a broad range of data sources, including big data frameworks

Course Overview

Module 1: Getting Started with Tableau

Employing visual analysis and analytics

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

Exploring Tableau

  • Utilizing the Tableau interface components
  • Distinguishing measures and dimensions
  • Generating basic visualizations

Module 2: Data Visualizations 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
  • Categorizing data with Marks

Graphing data

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

Module 3: 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

Module 4: Building Advanced Visualizations

Leveraging visualization 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

Module 5: 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 a level of detail calculations

Module 6: Representing Locations with Tableau Maps

Mapping geographic data

  • Plotting latitude and longitude
  • Adding points manually

Surveying map types

  • Categorizing with the symbol map and filled map
  • Customizing regions with polygon maps

Module 7: 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

Module 8: Disseminating Visualizations

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

Other Available Dates for this Course

Virtual Classroom Live
December 18, 2024

$2,650.00
3 Days    10:00 AM EST - 5:00 PM EST
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