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Learn Tableau for Data Science from scratch, create rich visualization and share with others
Updated on Sep, 2026
Programming, Data Science, Data Analysis
Training 5 or more people ?
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All tutorials are on the latest Tableau version. Included advanced topics as well like Relationships, Level of detail (LOD) expressions , Parameters, Sets, Trend Lines, etc. Included exciting features/Viz like emoji chart, playing YouTube video in a dashboard, animations, viz in tooltips, etc.
This course is designed because you are an absolute beginner, and I will teach you even the most basic concepts in Tableau from scratch so that after completing this course you will be able to create rich visualizations easily and confidently.
What all the technical skills you will learn in this course:
Software Installation (Tableau Desktop Public Edition, Tableau Desktop Professional Edition, Tableau Reader).
Creation of Tableau Public profile.
Understand the different Tableau Products.
Software Walkthrough (Tableau Desktop Public Edition, Tableau Desktop Professional Edition).
Publish the viz to Tableau Public.
Download the files from Tableau Public.
Extract the data source files from the published visualization in Tableau Public.
Tableau Core Concepts
Connect to a Data Source.
Update the data types.
Dimensions & Measures.
Aggregation & Granularity.
Discrete & Continuous fields.
Discrete data parts & Continuous date values.
Logical expressions.
Create Live & Extract Connections.
Difference between Live & Extract Connections.
Difference between twbx & twb file types.
Tableau Fundamentals
Computed and Manual Sorting.
Dimension & Measure filters.
Organize data in Hierarchies.
Reference & Trend Lines.
Groups & Visual Groups.
Add custom shapes in Tableau.
Add Visualization in Tooltip.
Table Calculations - Introduction.
Table Calculations - Scope & Direction.
Level of Details - Fixed, Include, Exclude.
Dashboard and Stories
Dashboard Introduction.
Add Actions for interactivity.
Navigation between dashboards.
Embed YouTube URL in dashboards.
Use Google with Tableau.
Storyboards vs dashboards.
Tableau's New Data Model.
Cross-database joins.
When to use - Relationships, Blends, Joins.
See the course description for all the technical topics we are covering in this course.
Learn Tableau for Data Science step-by-step, 100% practical course.
Willingness to learn.
No prior experience in Tableau is required.
Check out the detailed breakdown of what’s inside the course
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