Tableau Classroom Training

Tableau is one of the many data-related tools that work alongside R, Python or D3.js that can help you to create complex and beautiful data visualisations. With its intuitive and user-friendly approach to data visualization, Tableau is today, a popular choice for organizations, big and small.

Tableau Training Schedules - Trainer : Mr. Sekhar

Timings (IST)
Free Demo
Start Date
 
1 2 PM to 3 PM
Sep 10th
Sep 11th
Register
2 9 AM to 10 AM
Aug 21st
Aug 22nd
Register
3 9 AM to 11 AM (Weekend)
Aug 18th
Aug 19th
Register

If the above schedules does not work for you, then:
Option 1: On-demand Video Training
Option 2: Fast Track / Weekend Training

All Training Sessions are Completely Practical & Real=time

 

Course Fee & Duration

Total Course Fee: INR 6000/-

Total Duration: 3.5 Weeks

HIGHLIGHTS

Tableau with server Tableau Desktop
Tableau Online & Desktop DWH - Tableau
Analyzing & Visualization Automated Applications
Real-Time Domain Application Real-Time Project
 

Tableau Training Course Contents:

Chapter 1 : Introduction and Overview

  • Need for Reporting Tools
  • Need for Data Visualizations
  • Tableu - Scope and Advantages
  • Why Tableau? Why Visualization?
  • Level Setting – Terminology
  • Creating powerful visualizations quickly
  • The Tableau Product Line
  • Licensing and Pricing
  • Integration Components

Chapter 2 : Getting Started

  • Connecting to Data Source
  • Working with data files & database servers
  • Understanding the Tableau workspace
  • Dimensions and Measures
  • Using "Show Me" Options
  • Working of shelves and marks
  • Building Basic Views
  • Help Menu and Samples
  • Saving and Sharing your work

Chapter 3 : Field Types and Visual Cues

  • Tableau Desktop Tool
  • Application Terminology, Definitions
  • Opening and Closing Tableau
  • Data Source Page
  • Tableau Workspace
  • Files and Folders
  • Getting Started with Tableau
  • View Terminology and Definitions
  • View Sections
  • Data Terminology and Definitions
  • Data Types
  • Data Roles: Dimension vs. Measure
  • Data Roles: Continuous vs. Discrete
  • Changing Data Roles
  • Visual Cues for Fields in the Data Pane
  • Visual Cues in Row/Column Shelves

Chapter 4 : Data Connection in Tableau Interface

  • Data Connections in the Tableau
  • Connecting to Tableau Data Server
  • Joins and Types of Joins
  • When to Use Joining
  • Enabling Right Outer Join
  • Right Outer Join and Custom SQL Enabled
  • What is Data Blending
  • When to Use Data Blending
  • Data Blending in Tableau
  • Differences : Joining and Blending
  • Joining vs. Blending
  • Writing Custom SQL
  • Prepare your Data for Analysis
  • Dynamic Data Connections
  • Dataset Queries and Real-time Usage

Chapter 5 : Formatting and Annotations

  • Formatting and Annotations
  • Custom Geocoding
  • Adding Caption to Views
  • Click Interaction Adding Title to View
  • Click Interactions, Adding Captions
  • Using Titles Captions and Tool tips
  • Adding Tooltips to Views
  • Using Title Caption and Tooltip
  • Formatting the Axes
  • Edit Axis Option
  • Formatting Views with Labels and Annotations
  • Format Window,Format Mark Labels
  • Annotations, Format Manipulations

Chapter 6 : Special Field Types

  • Special Field Types
  • Date Hierarchies
  • Drilling in the Time Hierarchy
  • Pivoting Date Parts on Shelves
  • Discrete and Continuous Dates
  • Continuous Dates & Discrete Dates
  • Creating and Using Custom Dates
  • Fiscal Year&Relative Date Filters
  • Define a Date Field on a Fiscal Year
  • Importing Date Dimensions in Tableau from a Cube
  • Work with Date Hierarchies on Cubes
  • Dates in Cube (Multidimensional) Data
  • Dates in Cubes Vs. Relational Data Sources

Chapter 7 : Organizing and Simplifying Data - 1

  • Organizing and Simplifying Data
  • Objectives
  • Filtering Data
  • What is a Filter
  • Applying a Filter to a View
  • Filtering on Dimensions
  • Filtering on Dimensions Functions
  • Aggregating Measures
  • Filtering on Measures
  • Filtering on Dates, Quick Filters
  • Sorting of Data
  • What is Sorting
  • Sorting Data in Tableau
  • Types of Sorting
  • Creating Combined Fields
  • Combined Fields

Chapter 8 : Organizing and Simplifying Data - 2

  • Creating Groups and Defining Aliases
  • What are Aliases
  • Defining an Alias
  • Working with Sets and Combined Sets
  • Sets and Data Visualization Advantages
  • Combined Sets
  • Working with Groups and Sets
  • Drill to Other Levels in a Hierarchy
  • Grand totals and Subtotals
  • Adding Totals
  • How to Define Aggregations
  • Changing Aggregation Function
  • Tableau Bins
  • Bins and Real-time Usage
  • Fixed Sized Bins
  • Variable Sized Bins

Chapter 9 : Tableau Generated Fields, Calculations

  • Tableau Generated Fields
  • Measure Values and Measure Names
  • Using Multiple Measures in a View
  • Using the Number of Records Measure
  • Using Latitude and Longitude Fields
  • Calculations & Objectives
  • Strings Date Logical and Arithmetic Calculation
  • Working with Strings Date Logical and Arithmetic Calculations
  • Using Strings Date Logical and Arithmetic Calculations
  • Working with Arithmetic Calculations
  • Aggregation Options
  • Working with Aggregation Options
  • Grand Totals and Sub-Totals
  • Quick Table Calculations
  • Creating Quick Table Calculations
  • Working with Quick Table Calculations
  • Automatic and Custom Split
  • Ad-hoc Analytics
  • LOD Calculations

Chapter 10 : Chart Types

  • Chart Types
  • Working with Combined Axis
  • Working with Combination Charts
  • Understanding geocoding and geographic mapping in tableau
  • Combined Axis Graph and Scatter Plot
  • Describe text and highlight tables
  • Work with Pages Shelf and Create Motion Charts
  • Heat Maps
  • Using Bins and Histograms
  • Using Histograms
  • Using Pie Charts
  • Compare Measures Using Bullet Charts
  • Using Bar in Bar Charts
  • Define Advanced Chart Types
  • Using Pareto Charts
  • Creating Pareto Charts
  • Using Waterfall Charts
  • Using Gantt Charts
  • Working with box plots
  • Using Sparkline Charts

Chapter 11 : Creating and using Parameters

  • Creating and using Parameters
  • Objectives
  • What is a Parameter
  • Creating a Parameter
  • Exploring Parameter Controls
  • Work with Parameters
  • Click Interaction Working with Parameters

Chapter 12 : Mapping

  • Mapping Mechanism - Advantages
  • Modifying Locations within Tableau
  • Import, Modify Custom Geocoding
  • Symbol Map and Filled Map
  • Using Background Image
  • Exploring Geographic Search
  • Pan Zoom Lasso and Radial Selection
  • Working with WMS Server Maps

Chapter 13 : Statistics

  • Statistics
  • Reference Lines Bands, Distribution
  • Adding Reference Lines
  • Adding Reference Bands
  • Adding Reference Distribution
  • Reference Lines Bands and Forecasting
  • Trend lines and Trend Models
  • Understanding Trend Lines
  • Enabling Trend lines
  • Click Interaction &Trend Models
  • Describe Trend Model Window
  • Working with Trend Lines
  • Statistical Summary Card
  • Perform Drag and Drop Analytics
  • Explore Instant Analysis,Forecasting

Chapter 14 : Dashboards

  • Dashboards& Real-world Objectives
  • Build Interactive Dashboards
  • What is a Dashboard
  • Building Dashboards
  • Best practices - effective dashboards
  • Comprehending Best Practices
  • Dashboard and Importing Sheets
  • Interaction Exploring Dashboard Actions
  • Use of Running Actions
  • Using Dashboard Actions
  • Sharing your Work
  • How to Share your Reports
  • Exporting your Work
  • End User Report Delivery

Chapter 15 : Concepts and Options when Connecting to Data

  • Other Connection options
  • Joining multiple tables
  • Data Blending
  • Copy and Paste
  • Data Extracts
  • Custom SQL
  • Publishing and Re-using Data Connections
  • Understand how to deal with data changes in your data source such as field addition, deletion or name change
  • Re-using & sharing data, metadata

Chapter 16 : Analysis

  • Creating Views o Marks
  • Size and Transparency
  • Highlighting
  • Working with Dates
  • Date aggregations and date parts
  • Discrete versus Continuous
  • Dual Axis / Multiple Measures
  • Combo Charts with different mark types
  • Geographic Map o Page Trails
  • Heat Map o Density Chart

Chapter 17 : Building Interactive Dashboards

  • Combining visualizations into dashboard
  • Making your worksheet interactive by using actions and filters
  • An Introduction to Best Practices in Visualization

Chapter 18 : Dash Board :

  • Components – Horizontal, Vertical component, Image Component, Text Component, Blank Component
  • Format Filters in a Dashboard
  • Exporting Images

Chapter 19 : Sharing Workbooks

  • Publish to Reader Packaged Workbooks
  • Publish to Office
  • Publish to PDF
  • Publish to Tableau Server and Sharing over the Web

Chapter 20 : Real-time Project

  • Project
  • Resume preparation
  • Mock interviews

TABLEAU SERVER

Tableau Server Administration (Concepts)

  • Publishing, Scheduling and Sharing Security, Authentication and Access Roles and Responsibilities
  • Performance Monitoring and Tracking

Tableau Server Advanced Administration (Concepts)

  • High Availability
  • Backup and Recovery

TABLEAU – R – INTEGRATION

Tableau – R – Integration (Concepts)

How to Integrate R using Tableau Server Tableau Server Role in Integration

R output as Input to Tableau

File Based Integration of R with Tableau

 
EVERY SESSION IS COMPLETELY PRACTICAL. REAL-TIME. TASKS, MATERIAL, LAB WORK for EVERY SESSION. Register Today
 

Who can benefit from this Tableau Training course?

Complete Real-time and Practical Tableau Training with Real-time Project. With this humongous amount of data and real business implications at play, business organizations across the world have the need for an easy to use tool to analyze data and derive actionable insights from it. Tableau helps organizations do exactly this – mining the data and visualizing business opportunities.

Job-Oriented Real-time Training @ SQL School Training Institute - Trainer : Mr. Sai Phanindra T