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Four Tableau products a quick review and explanation

I want to share you what are the Products most popular.

Total four products. Read the details below.

Tableau desktop-(Business analytics anyone can use) - Tableau  Desktop  is  based  on  breakthrough technology  from  Stanford  University  that  lets  you drag & drop to analyze data. You can connect to  data in a few clicks, then visualize and create interactive dashboards with a few more.

We’ve done years of research to build a system that supports people’s natural  ability  to  think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.  It's so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 –100x faster than existing solutions.

Tableau server
Tableau  Server  is  a  business  intelligence  application  that  provides  browser-based  analytics anyone can use. It’s a rapid-fire alternative to th…

Analytics in Excel - Course Contents

Excel Analytics
[Excel analytics]
There are 4 parts of this course. These contents covers all the functionalities you need to work with Excel.

Part-1 - Importing Data from other sources 


  • Learn about the typical import sources of data (e.g. accounting software, ERP systems and common database programmes) 
  • Understand the pros and cons of different importing methods with walk through examples Discuss the form of received information and its implications (e.g. dating, text and number formats) Clarify what data aims to represent in column and row arrangements, in spatial and duration terms 

Part-2 - Converting data Excel ready 


  • Identify how Excel understands your data and make data Excel compliant Learn key Excel functions, tips and tricks to assist quick conversion including: functions – e.g. RIGHT, LEFT, CLEAN, TRIM, PROPER, MID, LOWER, UPPER tips – e.g. use of custom formatting to cleanse data tricks – e.g. converting specific elements of data blocks fast by changing between number and text forms Understand when data is corrupted or simply unreadable for Excel 

Part-3 - Data Mining 


  • Discuss and define analytical goals for the data by posing the correct questions Identify what data may be omitted in light of goals and learn how to remove this efficiently Define the parameters of your data and manipulate it into useful blocks for analysis, using: Dating and time controls Lookup and reference formulas including LOOKUP, MATCH, INDEX, CHOOSE, OFFSET Sum controls including SUMPRODUCT and SUMIF Arrangement controls including TRANSPOSE, FILTER and SORT 

Part-4- Excel Data Analysis Tools 


  • Answer your data queries by understanding a wide range of tools at your command including: Pivot tables Statistical functionality (e.g. MEDIAN, PERCENTILE, CORREL) What if analysis tools, including Goal Seek and data tables Moving averages Regression analysis Finalise your investigations by presenting your findings: Use advanced conditional formatting commands and tricks Develop professional presentation charts for reporting to senior management

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