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Sunday 17 June 2018

Tableau Online Training

Tableau Online Training

The Course goes with the aim to grasp key ideas about:
  •     Build experience in building charts and information visualizations
  •     Formulate complicated calculations to arrange and manipulate information
  •     victimization applied math techniques to gift information
  •     victimization parameters to regulate the input and regulate the outputs
  •     To surpass within the short cut ways which will improve the potency
  •     Understanding the Tableau sever and grasp to share the leads to a timely fashion
  •     Learn victimization and death penalty the Dashboards for information visualisation
  •     To handle the Tableau interface for attaining regularised handling for numerous tasks
USA Online Training Providing Best Tableau Online Training By 10+ Years of Experienced Trainer.
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This course is meant for the beginner to intermediate-level Tableau user. it's for anyone UN agency works with information – notwithstanding technical or analytical background. This course is meant to assist you perceive the vital ideas and techniques employed in Tableau to maneuver from straightforward to complicated visualizations and learn the way to mix them in interactive dashboards.



Course Objective outline

• perceive the various choices for connecting to information
• perceive the Tableau interface / paradigm – elements, shelves, information components, and nomenclature.
• the coed are going to be able to use this information to effectively produce the foremost Powerful visualizations.
• produce basic calculations together with string manipulation, basic arithmetic calculations, custom Aggregations and ratios, date math, logic statements and fast table calculations
• able to represent your information victimisation the subsequent mental image types:

• Cross Tab
• Geographic Map
• Page Trails
• Heat Map
• Density Chart
• Scatter Plots
• chart and Bar Charts
• little Multiples
• twin Axis and dance orchestra Charts with totally different mark varieties
• choices for drill down and drill across
• Use Trend Lines, Reference Lines and applied math techniques to explain your information
• Understanding a way to use cluster, bin, hierarchy, sort, set and filter choices effectively
• Work with the various info choices to fine tune the presentation of your visualizations
• perceive however and once to Use live Name and live price
• perceive a way to manage information changes in your information supply like field addition, deletion or Name amendment
• perceive all of your choices for sharing your visualizations with others
• mix your visualizations into Interactive Dashboards and publish them to the online

Wednesday 5 July 2017

Tableau Online Training Overview

Tableau Online Training Overview

Introduction to Tableau                  

  •             What is Data Visualization and Why Tableau?     
  •              Different products of Tableau       
  •             Tableau Desktop Basics:     

Making your Data Ready 
                
1. 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-lab1          

2. 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-lab2          

3. 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-lab3          


4. 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-Lab4         

5. 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-lab5          

6. 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-Lab6         

7. 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-Lab7         

8. Adding Value to Analysis – Trends, Distributions, and Forecasting              
  •             Trends           
  •             Customizing trend lines       
  •             Trend models           
  •             Analyzing trend models      
  •             Distributions 
  •             Forecasting   
  •             Summary-lab8          
9. 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-Lab9        
Learn Tableau within 45 Days...By Industry Expert Professional Trainer.
 

Wednesday 16 November 2016

Tableau Software Overview

Tableau Software Overview
  • What is Business Intelligence
  • What Data Visualization
  • Why we prefer Tableau 
  • Why we learn Tableau 
  • Advantages of Tableau
  • Who can learn Tableau
  • Prerequisites for Tableau
  • Tableau Career Scope