Dive Deep into Data Visualization with Tableau 
Why Choose Tableau Training?
Data speaks volumes, but only if you know how to listen. Tableau stands out as a leader in data visualization, transforming complex datasets into insightful visuals. This course is structured to ensure participants gain a mastery of Tableau, leveraging it to unveil data-driven insights.
Duration: 15 Hours (online / virtual live session)

Who Should Attend?

Data enthusiasts, business analysts, professionals keen on enhancing data visualization capabilities, and anyone eager to exploit the full potential of Tableau.

Course Highlights

 Your Tableau Journey Begins: Dive into what Tableau is, its products, and its pivotal role in data analytics.
 Set Up and Sail: Understand installation, licensing, and navigate the Tableau landscape while connecting with diverse data sources.
See more  
 Tidy Data, Tidy Mind: Master data preparation and cleaning, from basic manipulations to calculated fields.
 Visualization 101: Grasp the essence of Tableau through bar, line, scatter, and pie charts, all while formatting them for impact.
 Deep Dive into Visuals: Expand your visualization arsenal with maps, heat maps, treemaps, and dynamic dashboards.
 Analysis at its Finest: Harness Tableau's analytical might, from table calculations to forecasting.
 From Creation to Sharing: Narrate data stories, understand dashboard best practices, and share your insights with the world.
 Beyond Tableau's Borders: Integrate Tableau with R and Python and exploit extensions for amplified functionality.
 Expert Hacks and Advice: Absorb tried-and-tested tips, tricks, and best practices to refine your Tableau skills.
 Wrap Up with Wisdom: Reflect on the course content and get all your burning questions answered.


 Data Literacy: A basic understanding of data concepts would be beneficial.
 A Curious Mind: A genuine interest in data visualization and exploration.

Essentials for Participants

With Tableau Desktop installed (latest version).
Sample Data Sets
For hands-on sessions (to be provided before training starts).
Note-taking Materials
For jotting down insights and queries.
Write your awesome label here.

Training Content

Tableau Training Plan

Objective: Equip participants with the skills to effectively utilize Tableau for data analysis, visualization, and sharing of insights through interactive dashboards.

1. Introduction to Tableau

Objective: Familiarize participants with Tableau and its significance in the data visualization arena.
  • What is Tableau?
  • Overview of Tableau Desktop, Tableau Server, and Tableau Online.
  • Importance in the data analysis landscape.

2. Setting Up & Getting Started

Objective: Guide participants through the initial setup and navigation in Tableau.
  • Installation and licensing.
  • Navigating the Tableau interface.
  • Connecting to data sources: files, databases, cloud services.

3. Data Preparation & Cleaning

Objective: Teach participants about the data wrangling capabilities of Tableau.
  • Overview of the Data Source tab.
  • Basic data manipulations: renaming, data types, groupings.
  • Handling missing values.
  • Creating calculated fields and hierarchies.

4. Building Basic Visualizations

Objective: Introduce participants to the core of Tableau: visualization.
  • Drag-and-drop interface.
  • Creating common charts: bar, line, scatter, pie.
  • Dual-axis and combined charts.
  • Formatting and annotating visuals.

5. Advanced Visualization Techniques

Objective: Dive deeper into the visualization capabilities of Tableau.
  • Working with geographic data and maps.
  • Heat maps, treemaps, and waterfall charts.
  • Creating interactive dashboards.
  • Using parameters to make visuals dynamic.

6. Data Analysis in Tableau

Objective: Teach participants the analytical capabilities of Tableau.
  • Using quick table calculations.
  • Reference lines, bands, and distributions.
  • Clustering and forecasting.

7. Organizing & Publishing Work

Objective: Guide participants on organizing their work and sharing it with others.
  • Using stories to narrate a data journey.
  • Best practices for dashboard design.
  • Publishing to Tableau Server or Tableau Online.
  • Sharing and embedding visualizations.

8. Integration & Extensions

Objective: Explore external integrations and extensions to expand Tableau's capabilities.
  • Connecting Tableau with R and Python.
  • Using Tableau extensions for added functionalities.

9. Tips, Tricks & Best Practices

Objective: Share additional insights to help participants become proficient Tableau users.
  • Keyboard shortcuts.
  • Visualization do's and don'ts.
  • Resources for continued learning.

10. Conclusion & Q&A Session

Objective: Consolidate learning and resolve any outstanding queries.
  • Recap of the training highlights.
  • Q&A session.
Created with