Tableau Certification Training

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Learners : 1080

Duration :  25 Days

About Course

Business intelligence (BI) and analytics software like Tableau are extensively used and trusted by organizations to securely communicate data in the form of workbooks and dashboards. Everyone can easily clean, analyze, and visualize the data your team has created using the tool’s user-friendly drag-and-drop capabilities. You’ll learn how to use Tableau’s user interface, link data sources, and show data using simple visualizations. You’ll have the knowledge and abilities necessary to successfully explore Tableau and create useful data dashboards by the end of this session. Let’s start now.

Tableau Training Course Syllabus

Introduction to Data Warehousing

✔ Data Warehousing Concepts

Introduction to Business Intelligence

✔ What is Business Intelligence and Visual Intelligence?
✔ Different BI tools available in market
✔ Gartner Magic Quadrant for BI

Tableau Introduction

✔ Basics

Components

✔ What is Reader
✔ What is Online
✔ What is Public?
✔ Tableau Extensions
✔ Types of Extensions
✔ When to use Extensions
✔ Differences between. Twb and.Twbx extensions

View Sections

✔ What is Tableau Dashboard, When to use Dashboard, and what Ways to use Dashboard?
✔ What is work book and When to use a Workbook
✔ What is worksheet and When to use worksheets
✔ What are stories & their usage
✔ Ways to use Workbook, Dashboard, Worksheet, Stories

Dash Board

✔ Components

Data Connection in Tableau Interface

✔ Types of Data Connections
✔ Connect to Live Data connection
✔ Connect to Extract Data connection
✔ Creation of Extract file
✔ Connecting to various sources using tableau
✔ Customized Queries
✔ Dynamic Queries to pull data

Data Joins

✔ What is Join
✔ Types of Joins
✔ When to use Joining
✔ Rules to perform the Joins in tableau.
✔ Data Blending
✔ Join vs. Data Blending

Graphs/Charts/Bars – Different Visualizations available

✔ Line Graphs
✔ Single Line graphs
✔ Dual Line Graphs
✔ Blended Axis
✔ Difference between Dual axis and Blended axis
✔ Horizontal Bar Charts
✔ Vertical Bar charts
✔ Side-Side by bar charts
✔ Stacked Bar charts
✔ Pie Charts
✔ Gantt Charts
✔ Box and whisker plots, etc.

Maps in Tableau

✔ What is Tree Maps
✔ Heat Maps
✔ Treemap implementation
✔ Filed Maps
✔ What is Geo-Coding and implementation
✔ Importing External Custom Geocoding
✔ Symbol Maps
✔ Web Map services in Tableau
✔ Background Maps
✔ Map layers

Filters and Types

✔ What are Filters
✔ Filters on Dimensions
✔ What is Wild Card
✔ Filters on Measures
✔ Context Filters
✔ Global Filters
✔ Quick Filters
✔ Defining Filters at Source
✔ Defining Filters at Custom SQL

Creating and Using Parameters

✔ What is Parameter
✔ Creating Parameter
✔ Exploring Parameter Controls
✔ Work with the parameter
✔ Click interaction working with parameter
✔ Parameters and use with real-time examples
✔ Dynamically Show and Hide Sheets with Parameter

Groups, Sets, and bins

✔ What is Group
✔ When to use Group
✔ Editing Existing Group
✔ Limitation of groups
✔ What is Set
✔ When to Use Sets
✔ Types of Sets

Calculated Fields

✔ What is Tableau Calculation and when to use calculations
✔ Number Calculations
✔ String Calculations
✔ Date Calculations
✔ Type conversion
✔ Logical Calculations
✔ Aggregate Calculations
✔ User Calculations
✔ Table(Quick) Calculations,
✔ LOD Expressions – Fixed, Include, Exclude

Trend Analysis

✔ What is Trend Analysis
✔ Logarithmic Model
✔ Exponential Model
✔ Linear Model
✔ Polynomial Model

Fore Casting and Reference Lines

✔ What is Fore Casting and implementation
✔ What are Reference Line and types

Actions in Tableau

✔ What are Actions & When to use Actions
✔ Types of Actions
✔ How to Trigger the Action

Hierarchy

✔ What is a Hierarchy?
✔ Relation between Drill downs, Roll ups, and Hierarchies.
✔ What are Automatic Hierarchies?
✔ How to create Custom Hierarchy
✔ Removing Hierarchy

Live Instructor Based Training With Software
Lifetime access and 24×7 support
Certification Oriented content
Hands-On complete Real-time training
Get a certificate on course completion
Flexible Schedules
Live Recorded Videos Access
Study Material Provided

Tableau Training - Upcoming Batches

7th NOV 2022

8 AM IST

Weekday

Coming Soon

AM IST

Weekday

5th NOV 2022

8 AM IST

Weekend

Coming Soon

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Weekend

Don't find suitable time ?

CHOOSE YOUR OWN COMFORTABLE LEARNING EXPERIENCE

Live Virtual Training

  • Schedule your sessions at your comfortable timings.
  • Instructor-led training, Real-time projects
  • Certification Guidance.
Preferred

Self-Paced Learning

  • Complete set of live-online training sessions recorded videos.
  • Learn technology at your own pace.
  • Get access for lifetime.

Corporate Training

  • Learn As A Full Day Schedule With Discussions, Exercises,
  • Practical Use Cases
  • Design Your Own Syllabus Based
For Business

Tableau Training FAQ'S

What is Tableau?

Tableau is a business intelligence software that allows interactive visualization and handling of large amounts of data. It is used by businesses around the world to crunch numbers and use insights for growth and development.

Tableau is one of the most important tools for data analytics and visualization only competed by Apache Superset, Qlik and Metabase to name a few alternatives.

Explain the different data types of Tableau.

There are 7 data types in Tableau:

  1. Boolean (True/False)
  2. Date (Individual Value)
  3. Date and Time
  4. Geography
  5. Text or String
  6. Decimal Number
  7. Whole Number
What are Measures and Dimensions?

Measures and Dimensions are attributes that define a specific dataset in Tableau.

Measures are measurable quantities of data that are analyzed against dimensions. Any number of measures can be added to a single string, which is governed by dimensions. For example, an inventory of an online shop can have a total number of items, their prices, number of items sold historically, payment mode, etc. All of these can be considered measures.

On the other hand, dimensions are basically descriptions which allow visualization to take place. They allow a user to describe a single metric in different ways. A dimension table consists of all these descriptions.

State the importance of data servers in Tableau.

There are two functions of a data server in Tableau. One, it allows continuous syncing of all data – from datasets to past calculations, aliases to definitions – on the server which can then be accessed from anywhere. This allows for a more wholesome approach during any given task. Thus, it provides security and fast access.

Secondly, having a data server means one does not have to download all the required data to a local machine to run a visualization or a report. It can be pulled easily off the internet through the server.

Get ahead in your career by learning Tableau through VISWA Online Trainings

What are the different filters in Tableau?

There are mainly three filters in Tableau which are used to restrict data pull. They are:

  • Normal Filter – it is used to restrict a string of data from the base on selected measure or dimension
  • Quick – it is used to change values dynamically across worksheets in a dashboard
  • Context – it creates a temporary data source for use in any worksheet without disturbing the main dataset

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