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BECOME A SPECIALIST

Become a Production-Ready Tableau Developer

Build the ability to turn complex datasets into clear, interactive visual stories using Tableau.

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Explore Curriculum
Course Scope

What You Will Learn?

A comprehensive MySQL curriculum designed to take you from basic SQL to architecting high-performance, production-grade database systems.

๐Ÿ”Œ
Connect Multiple Data Sources
๐Ÿงน
Prepare Data with Tableau
๐Ÿ“Š
Create Advanced Visualisations
๐Ÿงฎ
Build Calculated Fields
๐Ÿ“
Master LOD Expressions
๐ŸŽ›๏ธ
Use Filters & Parameters
๐Ÿ–ฑ๏ธ
Add Dashboard Actions
๐Ÿ“–
Create Data Stories
โšก
Optimise Workbook Performance
โ˜๏ธ
Publish to Tableau Cloud
๐Ÿ›ก๏ธ
Manage Access
๐Ÿ’ผ
Build Portfolio
Role Overview

What Does a Tableau Developer Do?

A Tableau Developer transforms business data into interactive dashboards, visual reports, and analytical stories that help teams understand performance and make informed decisions.

The role combines data visualisation, SQL, data preparation, calculations, dashboard design, and business communication.

  • Develop interactive Tableau dashboards
  • Connect and prepare data from multiple sources
  • Create calculated fields and LOD expressions
  • Build KPI and analytical reports
  • Optimise workbooks and extracts
  • Publish and manage Tableau content

Modern Data Scientist Skillset

Tableau professionals need SQL, data preparation, advanced calculations, performance optimisation, and stakeholder communication.

Market Insight Indian Tableau roles increasingly combine visualisation with SQL, ETL, cloud platforms, and business analytics.
Industry Evolution

Why This Role Is Exploding in 2026?

Visual Storytelling Matters

Teams need clear visual stories that explain trends, patterns, and business performance.

Tableau Roles Are Becoming Broader

Modern roles increasingly combine Tableau with SQL, data preparation, analytics, performance tuning, and enterprise reporting.

Enterprise Analytics Needs Specialists

Tableau is used across finance, consulting, operations, marketing, healthcare, and other data-driven functions.

Compatibility

Who Is This For?

๐Ÿ“Š Aspiring Data Analysts
๐Ÿ’ป Data Visualisation Professionals
๐Ÿ“‹ MIS & Reporting Professionals
๐Ÿ”„ Career Switchers
๐ŸŽ“ Final-Year Students & Freshers
Core Competencies

Skills Covered in This Course

๐Ÿงฎ

LOD Expressions

Use FIXED, INCLUDE, and EXCLUDE expressions to analyse data at different levels of detail.

๐Ÿ“

Table Calculations

Apply running totals, moving averages, rankings, percentages, and advanced calculations.

๐Ÿงน

Tableau Prep

Clean, join, union, reshape, and prepare datasets before building analytical views.

๐ŸŽ›๏ธ

Parameters & Actions

Create dynamic dashboards using parameters, filters, sets, and interactive actions.

๐Ÿ—ƒ๏ธ

SQL & Data Connectivity

Work with databases and write SQL queries to support Tableau reporting.

โ˜๏ธ

Tableau Server & Cloud

Publish, organise, share, secure, and manage Tableau content in enterprise environments.

Our Methodology

Mentorship Learning Model

๐Ÿ‘ฅ

Live Mentorship

Direct interaction with Mehul Prajapati during weekend live sessions on Zoom.

๐Ÿ› ๏ธ

Hands-on Projects

Build dashboards around sales, finance, marketing, HR, and operational datasets.

๐Ÿ“–

Scenario-Based Learning

Solve enterprise-level problems using specific AI case studies and workflows.

๐Ÿ’ฌ

1-on-1 Feedback

Get personalized review on your code and architecture designs via Discord.

๐ŸŽ“

Career Coaching

Optimize your LinkedIn, resume, and portfolio for the 2026 AI job market.

๐Ÿ”’

Exclusive Resources

Access proprietary prompt libraries, deployment scripts, and project templates.

Master the Tools

Tools & Technologies You Will Master

Tableau Cloud
Tableau Desktop
Tableau Server
Tableau Public
SQL
Excel
Career Paths

Job Roles After Completing

Tableau Developer
Tableau Consultant
BI Developer
BI Analyst
Data Analyst
Data Visualisation Developer
Analytics Consultant
Reporting Specialist
Career Impact

Salary Potential in Tableau (India)

Tableau Developer
โ‚น7โ€“12 LPA
Senior Tableau Developer
โ‚น12โ€“18 LPA
Tableau Consultant / BI Specialist
โ‚น15โ€“25 LPA
AI ACADEMY
The Roadmap

Detailed Course Curriculum

A structured, fully visible syllabus โ€” no hidden content.

Module 1

Tableau Foundation

  • Introduction to Tableau and Tableau ecosystem
  • Tableau Desktop interface and workspace
  • Dimensions, measures, discrete and continuous fields
  • Data types, aggregation and default properties
  • Connecting to Excel, CSV and basic data sources
  • Creating worksheets and basic visualisations
  • Formatting, sorting, grouping and filtering
Module 2

Data Connections

  • Live connections vs extracts
  • Joins and relationships
  • Unions and blending
  • Data source filters and extract filters
  • Handling nulls and data quality issues
  • Pivoting and restructuring data
  • Creating hierarchies and groups
  • Data source optimisation basics
Module 3

Tableau Calculations

  • Calculated fields and calculation syntax
  • String, date and logical functions
  • Number and aggregate functions
  • IF, CASE and conditional calculations
  • Aggregate vs row-level calculations
  • Quick table calculations
  • Running totals and moving averages
  • Rank, percentage of total and difference calculations
Module 4

LOD Expressions

  • Understanding Level of Detail
  • FIXED expressions
  • INCLUDE expressions
  • EXCLUDE expressions
  • LOD expressions with dimensions
  • LOD expressions with filters
  • Nested LOD expressions
  • Practical business use cases for LOD
Module 5

Advanced Visualisations

  • Bar, line and area charts
  • Dual-axis and combined charts
  • Scatter plots and trend lines
  • Heat maps and highlight tables
  • Treemaps and packed bubbles
  • Maps and geographic analysis
  • Box plots and distribution analysis
  • Waterfall, funnel and Pareto-style views
Module 6

Filters, Parameters, Sets & Actions

  • Dimension and measure filters
  • Context filters
  • Top N and conditional filters
  • Parameters and parameter actions
  • Sets and set actions
  • Filter actions
  • Highlight actions
  • URL actions
Module 7

Dashboard Design & Storytelling

  • Dashboard layout and sizing
  • Containers and object placement
  • Visual hierarchy and whitespace
  • KPI and executive dashboard design
  • Interactive tooltips
  • Annotations and reference lines
  • Dashboard navigation
  • Device-specific layouts
  • Tableau Stories and data storytelling
Module 8

Advanced Data Workflows

  • Tableau Prep interface and workflow
  • Cleaning and profiling data
  • Joins and unions in Prep
  • Aggregations and pivots
  • Calculated fields in Prep
  • Handling duplicates and inconsistent values
  • Creating reusable flows
  • Flow outputs and publishing
  • Connecting Prep workflows with Tableau analytics
Module 9

Tableau Server

  • Tableau Server vs Tableau Cloud
  • Publishing workbooks and data sources
  • Projects and content organisation
  • Users, groups and permissions
  • Site roles and access management
  • Extract refresh schedules
  • Subscriptions and data-driven alerts
  • Sharing dashboards with teams
Module 10

Performance Optimization

  • Performance Recording
  • Understanding slow dashboards and queries
  • Optimising calculations and filters
  • Extract optimisation
  • Reducing unnecessary marks and worksheets
  • Dashboard performance best practices

Course Logistics

๐Ÿ“…
Duration 2 Months Intensive
๐Ÿ’ป
Mode Live Online Zoom Interactive
๐Ÿ•’
Sessions Weekends Only
๐Ÿ‘จโ€๐Ÿซ
Mentor Mehul Prajapati
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