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Overview

Tableau is the most popular data visualization, reporting, and business intelligence tool in the world. It is the tool chosen by multiple enterprises when it comes to brilliant visualization capabilities. The Tableau Basic-to-Advanced Training by Cognixia ensures that the participants are well acquainted with all the features of Tableau, and can take up any job that requires expertise in the Tableau application. Tableau training focuses on various skills like visualization, analytics, and business intelligence.

Why take Tableau Training?

Data has become the most important asset of organizations worldwide. Tableau is the most popular application for analyzing this huge amount of data and extracting meaningful information from it.

Tableau helps in creating beautiful data visualizations from complex data sets. It is the first choice of small and large enterprises because of its user-friendly nature.

This Training program will ensure participants excel in the art of data visualization using Tableau, and will be ready to take up any job or project in analytics, business intelligence, and data visualization.

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What you'll learn

  • Introduction to Data Visualization with Tableau
  • Basic Visualization Design
  • Visualizations Deep Dive
  • Data Organization and Scripting
  • Playing with Time Dimension
  • What is Your Location?
  • Incremental Loading and Blending
  • The World is Your Visualization
  • Statistical Analysis with Tableau & R
  • Sharing Insights with Enterprise Dashboards
Tableau training by Cognixia is suitable for:
  • Analytics and Business Intelligence professionals
  • Project Managers
  • Data Analysts
  • Data Scientists
  • Professionals who are looking for a career in real-time big data analytics
Duration: 32 Hours

Prerequisites

There are no pre-requisites for Tableau Training. Anyone who wants to learn analytics, data visualization, and business intelligence can go for this course.

Curriculum

Learning Objectives – In this module, you will learn about Data Visualization and be given an introduction to Tableau. Topics – Why is Data Visualization needed, How to make sense out of numbers, Uses of Tableau, Installation, Architecture, and Features of Tableau. Show me and various data shelf’s in action
Learning Objectives – In this module, you will learn to connect to databases and make basic charts and graphs. Topics – Exporting Data, Connecting Sheets, Loading into Tableau visualization engine. Making sense out of the basic visualizations like Text Tables, Bar, Line, Pie charts, basic maps and interpretations.
Learning Objectives – In this module, you will learn to make Advanced Charts and Graphs. Topics – Highlight Tables, Heat Maps, Circle Plots, Side by Side Bars, Continues Lines, Scatter Plots, Dual Charts, Area Charts, Tree Maps
Learning Objectives – In this module, you will learn scripting functionality and how to organize data for effective results. Topics – Calculated Metrics, Sorting, Filtering, Totals and Sub Totals, Various Aggregated Measures, Percentages, Data Spotlighting, Summary Card. Date and time functions, String Functions and logical functions, Data Items, Data behind your views, Hierarchies, Sets, Groups, Bins
Learning Objectives – In this module, you will learn to create time-based calculations Topics – Quick Table Calculations, Custom Table Calculations, YTD, Parallel Period, Moving Averages, Running totals, Window Averages, Trend Lines and Predictive Models
Learning Objectives – In this module, you will learn about location analytics capabilities to put geographic and other spatial context into your analysis Topics – Filled Maps, Symbol Maps, Geo Coding, Online Maps, Sorting in Maps, Background Maps
Learning Objectives – In this module, you will learn how to blend and arrange your data from multiple source systems for effective analysis Topics – Data Blending from multiple source systems, Custom SQL Queries, Creating Incremental Loads, Creating File Extractions, Parameters
Learning Objectives – In this module, you will learn about more advanced visualizations for various analytical requirements Topics – Dual Charts, Dual Axis, Combination charts, Gantt Charts for activity tracking, Motion Charts, Box and Whisker Plots, Reference Lines, Reference Bands, Pareto Analysis, Water Fall Charts, Market Basket Analysis
Learning Objectives – In this module, you will learn about the integration of Tableau with R, Statistical analytics, and Social media analytics Topics – Integrating Tableau with R, Connecting to R Serve, Parameterized R calls, Mean, Median, Mode, Standard Deviation, Forecasting Models
Learning Objectives – In this module, you will learn how to work in a real-time environment for Tableau projects. One mini project will be provided with business scenarios. Understand the requirement and create various dashboards and story boards, and deploy your dashboards for the project

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Course Feature

duration Course Duration
24x7 24x7 Support
access Lifetime LMS Access
gurantee Price match Gurantee

FAQs

Lifetime access to the Learning Management System (LMS) will be provided, which includes Class Recordings, Presentations, Sample Code, and Projects.
Candidates need not worry about losing any training session. They will be able to view the available recorded sessions on the LMS. We also have a technical support team to assist candidates in case they have any query.
To attend the live virtual training, at least 2 Mbps of internet speed would be required.
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