Best Tableau training in Chennai

Module 1: Introduction to Data Visualization & Tableau

Objective: Understand the basics of data visualization and the Tableau ecosystem.

• What is data visualization?

• Importance of data storytelling

• Introduction to Tableau

• Tableau product suite: Desktop, Prep, Server, Online, Public

• Tableau Desktop vs Tableau Public

• Installing Tableau Desktop / Public

Module 2: Tableau Interface & Basic Visualizations

Objective: Get comfortable with Tableau's UI and build basic charts.

• Tableau workspace overview

• Connecting to data (Excel, CSV, databases)

• Dimensions vs Measures

• Drag-and-drop basics

• Creating:

  • Bar charts

  • Line charts

  • Pie charts

  • Text tables

  • Tree maps

  • Heat maps

• Using Show Me panel

Module 3: Data Connection & Data Preparation

Objective: Work with different data sources and prep data for analysis.

• Connecting to local and server-based data

• Joining and blending data

• Data interpreter

• Pivoting and splitting data

• Creating calculated fields

• Data types and conversions

• Working with Tableau Prep (optional)

Module 4: Sorting, Filtering & Grouping

Objective: Learn to refine and shape data views.

• Basic and advanced filtering

• Quick filters

• Sorting data

• Grouping data fields

• Creating sets

• Creating hierarchies (drill down)

Module 5: Time Series, Dates & Aggregations

Objective: Handle date fields and time-based analysis.

• Date hierarchies

• Creating continuous vs discrete dates

• Date calculations (e.g., YTD, MTD)

• Running totals, moving averages

• Trend lines and forecasting

Module 6: Calculated Fields & Table Calculations

Objective: Add logic to dashboards using custom calculations.

• Simple calculated fields

• Logical calculations (IF, CASE)

• Numeric and string calculations

• Table calculations:

  • Percent of total

  • Rank

  • Difference from previous

  • Percent change

Module 7: Parameters & Advanced Filters

Objective: Make dashboards interactive using user input.

• What is a parameter?

• Creating and using parameters

• Dynamic calculations using parameters

• Parameter-driven filters

• Use cases: Top N filtering, dynamic dimensions

Module 8: Advanced Visualizations

Objective: Go beyond the basics and create powerful visuals.

• Dual-axis charts

• Combo charts

• Gantt charts

• Bullet graphs

• Waterfall charts

• Funnel charts

• Map visualizations (geographical data)

• Custom shapes and images

Module 9: Dashboards & Storytelling

Objective: Combine worksheets into meaningful dashboards.

• Dashboard vs worksheet vs story

• Dashboard layout and containers

• Adding actions (filter, highlight, URL)

• Interactive filters and legends

• Designing for user experience

• Creating stories and presentations

Module 10: Publishing, Sharing & Tableau Online

Objective: Share and deploy your work.

• Publishing to Tableau Public or Server

• Exporting dashboards to PDF/image

• Embedding Tableau dashboards in web pages

• User permissions and access control (if using Tableau Online/Server)

• Introduction to Tableau Cloud (optional)

Module 11: Hands-On Projects

Objective: Apply knowledge in real-world scenarios.

Mini Projects:

• Sales Performance Dashboard

• HR Analytics Dashboard

• Customer Segmentation using demographics

• COVID-19 Trends Dashboard

• Marketing Campaign ROI Tracker

Module 12: Tableau Best Practices & Optimization

Objective: Learn industry best practices and optimize performance.

• Dashboard performance optimization tips

• Best practices for visual design

• Choosing the right chart type

• Color and formatting techniques

• Avoiding common mistakes