Tableau Introductory Course

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Course Modules
Career Guidance
Sandeep Soni

Mr. Sandeep Soni


CEO & Founder of Deccansoft Software Services
9849001840  /  9849001840

Email: sandeepsoni@deccansoft.com


  
  

Course Overview

Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts.

Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.

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  • Includes job related training to help participants face an interview confidently.
  • Microsoft Certification Guidance and any subject related questions will be answered by Mr. Sandeep Soni (MCT).
  • Every course comes with a Live Project with a step-by- step guide and complete source code.

Instructor

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WHAT YOU'LL LEARN / COURSE OBJECTIVE

  • Understand the many options for connecting to data
  • Understand the Tableau interface / paradigm – components, shelves, data elements, and terminology. The student will be able to use this knowledge to effectively create the most powerful visualizations.
  • Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
  • Able to represent your data using the following visualization types:
    • o Cross Tab
    • Geographic Map
    • Page Trails
    • Heat Map
    • Density Chart
    • Scatter Plots
    • Pie Chart and Bar Charts o Small Multiples
    • Dual Axis and Combo Charts with different mark types
    • Options for drill down and drill across
  • Use Trend Lines, Reference Lines and statistical techniques to describe your data
  • Understanding how to use group, bin, hierarchy, sort, set and filter options effectively
  • Work with the many formatting options to fine tune the presentation of your visualizations
  • Understand how and when to Use Measure Name and Measure Value
  • Understand how to deal with data changes in your data source such as field addition, deletion or name change
  • Understand all of your options for sharing your visualizations with others
  • Combine your visualizations into Interactive Dashboards and publish them to the web

Pre-requisites

Nothing
 
 

Outline Download

 

Course Completion Certificate

Course Completed
 
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