Learning Path, From Foundations to Proficiency

Program Summary

Level 1

Foundation: Learning the basics & interface of Tableau.

Duration: 1 week.

Outcome: Simple dashboard

Level 2

Intermediate: Analytics & Interactivity.

Duration:2 weeks.

Outcome: Interactive story dashboard

Level 3

Advanced: Integration & Performance.

Duration: 3 weeks.

Outcome: Business dashboard project

Level 4

Proficiency: Certification & mastery.

Duration: 1 week.

Out Come: Certification-ready portfolio

1. Introduction to Data Visualization & BI
2. Exploring Tableau Interface
3. Connecting to Data Sources
4. Understanding Dimensions & Measures
5. Building Basic Charts & Dashboards

1. Data Preparation with Tableau Prep
2. Advanced Charts (Heatmaps, Tree Maps, Dual-Axis)
3. Calculated Fields & Table Calculations
4. Dashboard Interactivity (Filters, Parameters, Actions)
5. Storytelling with Tableau Stories

1. Advanced Data Modeling & Blending
2. Performance Optimization
3. Data Governance & Collaboration
4. Integrating Tableau with Other Data Tools
5. Capstone Project

1. Tableau Desktop Specialist Exam Prep
2. Advanced Calculations & Analytics Review
3. Mock Assessments & Feedback
4. Portfolio Presentation & Peer Review

Level 1:

Foundation: Getting Started with Tableau

Level 3: Advanced

Data Strategy & Real-World Analytics

Curriculum Structure

Level 2:

Intermediate: Learning analytics & interactivity.

level 4.Proficiency

Tableau certification readiness and professional BI portfolio.

Key deliverable: Create your first interactive sales dashboard using sample data.

Key deliverable: Design an interactive “Executive Performance Dashboard” with multiple data views.

Key deliverable: Develop and present a full business dashboard for a real-world dataset.

Key deliverable: Tableau certification readiness and professional BI portfolio.

Capstone Project

Learners will work on a real-world dataset (finance, sales, development, or operations) to:

  • Analyze, design, and publish a fully interactive Tableau dashboard.

  • Present insights through a data story to a mock executive audience.

  • Receive peer and instructor feedback for improvement.