Tableau Online Live Class by Experts
Our Training/Internship Process
Tableau - Syllabus, Fees & Duration
Module 1 - What Is Data Visualization?
- Why Visualization came into Picture?
- Importance of Visualizing Data
- Poor Visualizations Vs. Perfect Visualizations
- Principles of Visualizations
- Tufte’s Graphical Integrity Rule
- Tufte’s Principles for Analytical Design
- Visual Rhetoric
- Goal of Data Visualization
Module 2 - Tableau – Data Visualization Tool
- What is Tableau? Different Products and their functioning
- Architecture Of Tableau
- Pivot Tables
- Split Tables
- Hiding
- Rename and Aliases
Module 3 - Tableau User Interface
- Understanding about Data Types and Visual Cues
Module 4 - Basic Chart Types
- Text Tables, Highlight Tables, Heat Map
- Pie Chart, Tree Chart
- Bar Charts, Circle Charts
Module 5 - Intermediate Chart
- Time Series Charts
- Time Series Hands-On
- Dual Lines
- Dual Combination
Module 6 - Advanced Charts
Module 7 - Maps In Tableau
- Types of Maps in Tableau
- Polygon Maps
- Connecting with WMS Server
- Custom Geo coding
Module 8 - Adding Background Image
Module 9 - Data Connectivity In-Depth Understanding
Module 10 - Creating Calculated Fields
Module 11 - Responsive Tool Tips
- Dashboards
Module 12 - Connecting Tableau With Tableau Server
Module 13 - Connecting Tableau With R
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 60 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
Course Highlights
You can learn how to use Tableau on a number of different platforms. Tableau is one of the most popular data visualization solutions for data science and business intelligence requirements. Nestsoft is one of the best of them. The Nestsoft Tableau online training course covers the Tableau architecture, data visualisation, maps, filters, parameters, graphs, table operations, and dashboards. Data blending, aggregation, and R and its connectivity are also included. Tableau allows users to display data and visualize insights in an interactive and enchanting way. Learning Tableau can also be beneficial if you are considering a career change. Most data analytics specialists now consider it a required skill. Understanding the tool's essential components and appropriately executing it can help you showcase and deliver data analytics in a lot more polished way. The case studies described near the end will only serve to strengthen your understanding and prepare you to handle real-world tasks and difficulties with Tableau. 
