Data Source | Dimension & Measures | Tableau Tutorial | Day 2

Veröffentlicht am: 01 Januar 1970
auf dem Kanal: Analyst Era

Why take Tableau Training?

Tableau is by far one of the best business intelligence tools available in the market today. After completing Tableau reporting training course, you will able to better analyze your business and develop highly insightful information.

Global Business Intelligence and Analytics Market to Reach $16.9 Billion in 2016 – Gartner
Tableau is a leader in the Gartner Magic Quadrant for BI for the fourth year - Gartner ? Average Tableau salaries are 77% higher than average for all other salaries. – indeed.com
Tableau Training is provided by Real-Time Experts with real-time Case studies and scenarios. A tableau is an analytical tool for creating visual analytics.It is used to analyze the data and representing in the form of charts.There are Various kinds of charts within Tableau that helps to elaborate data that making it is easier for an end user to read the data in an understandable form.

What is Tableau?

Tableau’s products are used to transform large Data and Solve the Problems in a way that easily understandable to all people. TheTableau Course provides all the basic concepts about tableau Course, Everyone can understand the concepts even learner from the Beginner, Intermediate and Advanced level People also can understand the Tableau Concepts very effectively.

Objectives of the Course

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
Who should go for this course

Graduates
Business Intelligence Professionals
Testing Professionals
Brief about topic

01.Introduction and Overview

Why Tableau? Why Visualization?
Level Setting – Terminology
Getting Started – creating some powerful visualizations quickly
The Tableau Product Line
VizSQL concept of Tableau
02.Overview of Dimension Modeling

Dimensions
Facts
Aggregates
Slowly Changing Dimensions
Overview of Star Schema & Snowflake Schema Design
03.Tableau Environment

File types in Tableau
Tableau Workspace
Workbooks & Worksheets
Creating Data Views
04.Data Sources

Writing Custom Queries
Editing of connections
Joining Tables – Exploring different types of joins supported in Tableau
05.Creating Hierarchies

Date Hierarchies
Dimension Hierarchy
Dynamic Hierarchy
Hierarchy drill options
06.Creating Calculated Fields

Writing Expressions
Using built-in Functions
i. Case
ii. Char
iii. Contains
iv. Conditional Functions such as IIF, CountIF, etc.
Special Tableau Functions such as Rank, Dense_Rank, Last, First, Runnig_Sum, etc.
07.Creating Parameters

a. Simple parameters
b. Cascaded Parameters
c. Using Parameters in Calculations
d. Parameter Controls
08.Actions

a. Filter Actions
b. Highlight Action
c. URL Actions
d. Running Actions
9. Pivoting with Data Source
a. Comparing Tableau’s Pivot with Excel’s Pivot
b. Exploring Column & Row properties of Pivot
09.Sorting Data

Single Column sorting
Multi Column Sorting
Field or member sorting
Computed Sorting
10.Filtering Data

11. Deep Dive of Calculations in Tableau

12. Creating totals & Sub totals

13. Custom Aggregations

14. Creating Sets

15. Creating Groups

16. Creating Bins

17. Data Blending

18. Creating charts

19. Formatting

20. Maps

21. Creating Dashboards

22. Creating Heat Maps
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