Tableau Online Training 10.3 Version

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Tableau Online Course

Tableau Version 10.3

Tableau Introduction

Tableau successful Business Intelligence market leading tool used to discover the overall data and presenting in neat and understandable manner. By using Tableau data visualization, we can take quick decision making and fast data analytics. Even non-it people can able to do Tableau Course.

Tableau Career

  • Tableau established in 2004,now tableau having 45,5000+ clients worldwide.
  • 10,45,052+ Employees are working on tableau data visualization.
  • Very Fast Growing Business Intelligence Tool.

Tableau Trainer

  • 12 Years of BI & Data Warehousing Working IT Professional.
  • Having 5+ Years of Experience in Tableau Data Visualization.
  • Successfully Trained 450+ Students Online.

Who can Learn Tableau ?

  • Any Graduate can Learn Tableau Course.
  • No Programming skills required to learn the Tableau BI Tool.
  • NON IT Employees/ students can Learn Tableau Course.

Tableau Course Content

Introduction to Tableau
  • What is Data Visualization and Why Tableau?
  • Different products of Tableau
  • Tableau Desktop Basics
  • Making your Data Ready
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
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
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
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
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
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
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
Adding Value to Analysis – Trends, Distributions and Forecasting
  • Trends
  • Customizing trend lines
  • Trend models
  • Analyzing trend models
  • Distributions
  • Forecasting
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
Administration
  • Create Projects and Groups
  • Assign Permissions to Projects
  • Licensing
  • Data Connections
  • Effects of different permissions
  • Grouping users
  • Server security
Additional Information
  • Day to Day video records
  • Material distribution
  • Interview questions & Answers
  • Scenarios distribution for practice
  • for Tableau Online Training Course Demo Register Now

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Training Type:
ClassroomOnline

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