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
✅Implementing data blending and aggregation
✅Data visualization and real-time analytics
✅Tableau generated fields and special fields
✅Connecting Tableau with R
✅Deploying R scripts on Tableau
✅Data connections for organizing data
✅Tableau graphs, reports and calculations
Who should take up this Tableau training course?
✅Data Scientists, Business Intelligence Professionals and Testing Professionals
✅Statisticians, Business Analysts and Project Managers
Data Visualization Analysts and Functional Experts
Graduates and Professionals looking to move into the analytics domain
Add-Ons :
Resume Building
Real Time Projects & Case studies
Interview Preparation
Key Features:
Enroll & Design your course at your flexible time slot
100 % Satisfaction
Get trained through Online professional Instructor Led Training
Live interactive training
Recorded session , Assignment & E-learning documents
Get Certified
Pay for Course only after Demo Class
Real use cases & Job Oriented Course Curriculum
Faculty with more than 12 years of experience in the industry.
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