Tableau Course Syllabus

Complete Tableau course syllabus covering data connection, blending, calculated fields, LOD expressions, dashboards, stories, parameters, Tableau Prep, and analytics project delivery.

PragadeeshJuly 24, 2026
Tableau Course Syllabus
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💡 Quick Answer
  • Tableau job readiness needs LOD expressions, interactive dashboards, and Prep — not basic bar charts alone.
  • Expect 15 core modules plus a phased real-time project with hands-on delivery.
  • Pair Tableau with SQL and statistics for stronger analyst interviews.
  • Book a free Asmorix demo for Tableau batch alignment.

This Tableau course syllabus maps the path from connecting disparate data sources to building executive dashboards, stories, and analytics insights with calculated fields and LOD expressions. Use it before joining Tableau Training in Chennai. Related: Power BI Course Syllabus, Data Science Course Syllabus, R Programming Course Syllabus.

💡 Note
A complete Tableau syllabus should cover data modeling, calculated fields, LOD expressions, dashboard interactivity, performance tuning, and storytelling — not drag-and-drop charts alone.

Quick Overview

ItemDetails
Course focusBusiness intelligence visualization and dashboard delivery with Tableau Desktop & Prep
Modules15 core modules + real-time project guidance
LevelBeginner to job-ready BI analyst
Who it is forAnalysts, MBA graduates, engineers, and reporting professionals
Key outcomesConnect/blend data, build KPI dashboards, use LOD logic, publish insights with stories
Training optionsClassroom and live online batches in Chennai with placement support

Who Should Follow This Tableau Syllabus?

Suited for analysts moving from Excel to BI, data-curious engineers, and managers who need credible dashboard skills. Excel power users can accelerate through calculated fields; beginners start with connections and chart fundamentals.

Module 1: Business Intelligence & Tableau Workspace

  • BI delivery roles
  • Tableau Desktop panes
  • Workbook versus data source files
  • Tableau Server and Cloud
  • Visual analysis workflow
  • Dashboard review criteria
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for business intelligence & tableau workspace

Module 2: Connecting and Profiling Data

  • Excel and text connectors
  • Relational database connections
  • Data interpreter cleanup
  • Field roles and data types
  • Extract versus live connections
  • Data source filters
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for connecting and profiling data

Module 3: Tableau Calculations Fundamentals

  • Row-level calculated fields
  • String and date functions
  • Numeric aggregation rules
  • IF and CASE expressions
  • Null-value handling
  • Calculation validation
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for tableau calculations fundamentals

Module 4: Charts for Comparison & Trend

  • Bar and line chart selection
  • Dual-axis combinations
  • Reference lines and bands
  • Sorting and grouping
  • Small multiples
  • Chart readability
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for charts for comparison & trend

Module 5: Tables, Maps & Geographic Analysis

  • Crosstabs and highlight tables
  • Geographic roles
  • Symbol and filled maps
  • Custom geocoding
  • Map layers
  • Spatial business questions
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for tables, maps & geographic analysis

Module 6: Filters, Parameters & Sets

  • Quick filters
  • Context filter order
  • Parameter controls
  • Dynamic sets
  • Set actions
  • User-driven analysis
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for filters, parameters & sets

Module 7: Table Calculations

  • Running totals
  • Percent of total
  • Moving averages
  • Difference from previous
  • Addressing and partitioning
  • Table calculation troubleshooting
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for table calculations

Module 8: Level of Detail Expressions

  • FIXED expressions
  • INCLUDE expressions
  • EXCLUDE expressions
  • LOD and filter order
  • Cohort calculations
  • Granularity design
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for level of detail expressions

Module 9: Data Preparation & Tableau Prep

  • Pivoting wide data
  • Joins and unions
  • Relationships in the logical layer
  • Data cleaning steps
  • Prep flow outputs
  • Refresh-ready extracts
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for data preparation & tableau prep

Module 10: Dashboards & Storytelling

  • Layout containers
  • Dashboard actions
  • Device layouts
  • KPI hierarchy
  • Annotation choices
  • Story points
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for dashboards & storytelling

Module 11: Advanced Visual Analytics

  • Waterfall charts
  • Pareto analysis
  • Control charts
  • Forecasting
  • Trend lines
  • Clustering
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for advanced visual analytics

Module 12: Publishing & Governance

  • Publish permissions
  • Certified data sources
  • Extract refresh schedules
  • Subscriptions
  • Projects and sites
  • Content ownership
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for publishing & governance

Module 13: Performance Optimisation

  • Workbook performance recorder
  • Extract design
  • High-cardinality fields
  • Query reduction
  • Dashboard load testing
  • Performance remediation
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for performance optimisation

Module 14: Tableau Server Administration Basics

  • Users and groups
  • Site roles
  • Row-level security
  • Licensing concepts
  • Server monitoring
  • Migration considerations
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for tableau server administration basics

Module 15: Portfolio & Interview Preparation

  • Dashboard portfolio curation
  • Business-question framing
  • Calculation walkthroughs
  • Tableau scenario interviews
  • Stakeholder presentation
  • Certification preparation
  • Lab: apply this module in a guided Tableau workbook exercise
  • Review common interview and on-the-job scenarios for portfolio & interview preparation

Module 16: Real-Time Project

Deliver a Tableau dashboard for a regional retailer, turning raw sales, returns, and target data into decisions for category managers.

  • Published executive dashboard with actionable KPIs
  • Documented calculations, data definitions, and refresh schedule
  • Five-minute stakeholder walkthrough recording

Phase 1

  • Profile sales and returns files
  • Define margin, target, and return-rate measures
  • Sketch dashboard wireframe

Phase 2

  • Build LOD calculations and regional maps
  • Add actions, parameters, and device layout
  • Test against manager questions

Phase 3

  • Publish governed workbook
  • Tune slow sheets with Performance Recorder
  • Present recommendations and portfolio case study

How to Use This Syllabus

Ask institutes which datasets you will use, whether LOD and Prep are hands-on, and if you publish to Tableau Public portfolios. Visit Tableau Training in Chennai with Placement for counseling.

Frequently Asked Questions

What does the Tableau course syllabus cover?

It covers data connections and blends, calculated fields, LOD expressions, interactive dashboards, stories, parameters, Tableau Prep, performance tuning, and an analytics capstone project.

How many modules are in this Tableau syllabus?

This reference plan has 15 core modules plus a phased real-time project. Institutes may combine or split modules depending on batch duration and lab hours.

Who should follow this Tableau syllabus and what prerequisites apply?

This syllabus suits aspiring business analysts, BI developers, and data professionals. SQL knowledge is helpful but not mandatory; dedicated modules accelerate data modeling for beginners.

Is Tableau Prep included in the syllabus?

Yes. Hands-on Tableau Prep flows cover data cleaning, pivoting, joins, and publishing prepared datasets to Tableau Desktop or Server.

What projects should be part of Tableau training?

An executive dashboard with KPI documentation, interactive filters, and a Tableau Story that narrates business insights is a strong capstone.

Is this Tableau syllabus suitable for beginners and career switchers?

Yes. The syllabus progresses from connecting data sources to building dashboards, so freshers and career switchers can enter analyst roles with structured lab practice.

How does this Tableau syllabus relate to Power BI training?

This syllabus focuses on Tableau Desktop, LOD, and Prep depth. The Power BI syllabus covers the Microsoft stack with Power Query, DAX, and Service publishing.

Where can I join Tableau training in Chennai?

Asmorix offers mentor-led Tableau training with placement support. Book a free demo to match this syllabus to your background and batch timing.

Pragadeesh

Pragadeesh is a software professional and technical mentor at Asmorix. He specializes in AI, Full Stack, Python, Java, .NET, Data Science, Cloud, Testing, DevOps, Cyber Security, and Digital Marketing training guidance for learners in Chennai.

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