Tableau BI Training Course

Tableau BI Training Course For Beginners

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Tableau BI Training Course For Beginners Summary

 

Tableau BI Training Course For Beginners is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 16 hours, 2 sessions per week, 2 hours per session.

  • The medium of instruction is English.
  • All Published Ticket Prices are in US Dollars.

Tableau BI Training Course For Beginners Schedule

 

Please choose from one of the dates in the table below to begin your enrollment :

Dates Weekly Schedule (US Pacific Time)* Price Add to Cart
Dec 6 to Dec 29 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Dec 7 to Dec 30 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Jan 8 to Jan 30 Sat/Sun 7:30 AM - 9:30 AM each day $394.00 Add to cart
Jan 10 to Feb 2 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Jan 11 to Feb 3 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Feb 5 to Feb 27 Sat/Sun 7:30 AM - 9:30 AM each day $394.00 Add to cart
Feb 7 to Mar 2 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Feb 8 to Mar 3 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Mar 14 to Apr 6 Mon/Wed 6:30 PM - 8:30 PM each day $394.00 Add to cart
Mar 15 to Apr 7 Tue/Thu 8:30 AM - 10:30 AM each day $394.00 Add to cart
Mar 19 to Apr 10 Wed/Sun 8:30 AM - 10:30 AM each day $394.00 Add to cart
*click on date/time hyperlink to add your location and find local date/time for first session
Dates and Weekly Schedule (US Pacific Time)* Price
Dec 6 to Dec 29
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Dec 7 to Dec 30
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Jan 8 to Jan 30
Sat/Sun 7:30 AM - 9:30 AM each day
$394.00
Enroll
Jan 10 to Feb 2
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Jan 11 to Feb 3
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Feb 5 to Feb 27
Sat/Sun 7:30 AM - 9:30 AM each day
$394.00
Enroll
Feb 7 to Mar 2
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Feb 8 to Mar 3
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Mar 14 to Apr 6
Mon/Wed 6:30 PM - 8:30 PM each day
$394.00
Enroll
Mar 15 to Apr 7
Tue/Thu 8:30 AM - 10:30 AM each day
$394.00
Enroll
Mar 19 to Apr 10
Wed/Sun 8:30 AM - 10:30 AM each day
$394.00
Enroll
*click on date/time hyperlink to add your location and find local date/time for first session

Course Objectives

 
  • Create Interactive dashboards
  • The necessity of reporting and analytics ETL
  • Understand the Tableau architecture and components
  • Gain knowledge of using R scripts in Tableau
  • Simplify and organize data with data connections

Features and Benefits

 
  • 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful
    resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Actual code and scripts provided
  • Real-life Scenarios

Who should attend ?

 
  • Any IT Professional who is interested in learning Tableau BI.

Prerequisites

 
  • It is recommended that participants are familiar with programming.

Course Outline

 

1. Introduction to Data warehousing

  • What is Database evaluation?
  • Database Evaluation types
  • What is Data warehousing
  • Data  Warehousing Characteristics and Architecture
  • Difference between OLTP and OLAP
  • What is Dimension table
  • When to use Dimension
  • Types of Dimension Tables
  • What is Fact table and types?
  • When to use Fact table
  • Types of Fact tables
  • What is Star schema and snowflake schema?

2. Business Intelligence

  • What is Business Intelligence and Visual Intelligence?

3. Tableau Introduction

  • Why Tableau
  • History of Tableau
  • Characteristics of Tableau
  • Tableau versions.
  • Differences between different versions of tableau.
  • What is VizQL
  • Use of VizQL in Tableau.
  • Tableau Architecture and components. 

4. Tableau Components

  • What is Tableau Desktop, Server?
  • What is Tableau Reader
  • What is Tableau Online
  • What is Tableau Public?

5. Tableau Extensions

  • Types of Extensions
  • When to use Tableau Extensions
  • Differences between. Twb and .Twbx extensions

6. View Sections

  • What is Dashboard, when to use Dashboard and Ways to use Dashboard
  • What is workbook and When to use Workbook
  • What is work sheet and When to use worksheets
  • What is stories their usage
  • Ways to use Workbook, Dashboard, Worksheet, Stories

7. Dashboard Components

  • Horizontal
  • Vertical component
  • Image Component
  • Text Component
  • Blank Component

8. Data Connection in Tableau Interface

  • Types of Data Connections in Tableau
  • Connect to Live Data connection
  • Connect to Extract Data connection in Tableau
  • Creation of Extract file in Tableau

9. Data Joins in Tableau

  • What is Join
  • Types of Joins
  • When to use Joining
  • Rules to perform the Joins in tableau.
  • What is Custom SQL.

9. Data Joins in Tableau (Contd.)

  • Custom SQL Enabled Custom SQL.
  • Writing
  • Data Refresh

10. Data Blending in Tableau

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

11. Graphs/Charts/Bars

  • 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 

12. Maps

  • What is Tree Maps
  • Heat Maps
  • Tree map implementation
  • Filed Maps
  • What is Geo-Coding and implementation
  • Importing External Custom Geo coding
  • Symbol Maps

13. Filters and Types

  • What is 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

14. 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 

15. Groups and Sets

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

16. Calculated Fields

  • What is Tableau Calculation
  • When to use INDEX (),RANK (),LAST(),FIRST() Functions
  • RUNNING_SUM Calculations
  • WINDOW_SUM Calculations

16. Calculated Fields (Contd.)

  • String Calculations
  • Boolean Calculations
  • DATE Calculations.

17. Trend Analysis

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

18. Fore Casting and Reference Lines

  • What is Fore Casting and implementation
  • What is Reference Line
  • Lines
  • Bands
  • Distributions
  • Box Plot

19. Annotations

  • Mark Annotation
  • Point Annotation
  • Area Annotation

20. Aggregation and Disaggregation

  • What is Aggregation
  • When to use Aggregation
  • What is Disaggregation
  • When to use Disaggregation. 

21. Page-shelf or Automated Maps

  • What is Page Shelf?
  • When to use Page Shelf
  • Page Shelf Customized Controls

22. Drop Lines

  • What is Drop Lines
  • When to use Drop Lines?
  • What is summary Card?
  • When to Use summary Card in Tableau?

23. Actions in Tableau

  • What is Actions & When to use Actions
  • Types of Actions in tableau
  • How to Trigger the Action

24. Hierarchy in Tableau

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

25. Tableau Advanced Charts – User defined Charts (IMP)

  • Waterfall charts
  • Donut charts
  • Funnel Charts
  • Lollipops charts
  • Whisker plots.
  • Scatter plot

Refund Policy

 
  • 100% refund can be applied if request is initiated 24 hours before the 1st course session.
  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund