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.