About This Program
Master Tableau Desktop, Prep, and Server/Online. Learn LOD expressions, performance optimization, and storytelling with data. Complete an end-to-end real-world capstone project to become a job-ready Tableau Developer/Analyst in 1 month.
Course Overview
This intensive 1-month program is designed to transform participants into job-ready Tableau Developers/Analysts. It covers the full data visualization workflow: from data ingestion and cleaning using Tableau Prep and SQL, to advanced dashboard design and presentation. Participants will master complex Tableau features like LOD expressions, performance tuning, and storytelling with data, culminating in a real-world capstone project.
What You Will Learn
Hands-on Projects
Apply your learning through real-world projects that build your portfolio
Unique method to make you professionally rich
Progress through our comprehensive program which makes qualified professional to earn their awards
Bronze Award
Begin your journey with foundational skills and basic certification.
Course Curriculum
Technologies You Will Learn
Master the most in-demand tools and technologies for data analytics
Tableau Desktop, Tableau Public, Tableau Server/Online
Tableau Prep (for ETL)
SQL (MySQL, Postgres, SQL Server)
Data Sources (Excel, CSV, APIs/Web data)
Advanced Calculations (LOD expressions, Table Calculations)
Data Modeling Tools
Version Control (e.g. Git)
Visualization Best Practices & Design Principles
What Our Students Say
Hear from our students who have transformed their careers
Why Choose Edjamon?
Discover the difference between Edjamon and traditional platforms
| Features & Criteria | EdJAMON | Others |
|---|---|---|
Duration | 1 Month (intensive, hands-on, project-focused) | 3–6 Months (longer, often generic and theory-heavy) |
Learning Format | Live classes + mentor guidance + labs + code/dashboard reviews | Mostly self-paced recorded content |
Core Tool | Tableau Desktop, Tableau Public, Tableau Server/Online | Usually Tableau Desktop only, Server rarely included |
Data Preparation (ETL) | Tableau Prep + SQL integration + optional Python/R scripting | Limited ETL, mostly Excel/CSV imports |
Calculations & Analytics | LOD expressions, table calculations, sets, groups, parameters | Covers only basic filters and calculations |
Advanced Features | Publishing, permissions, embedding dashboards, large data handling | Rarely covered, publishing often skipped |
Job Roles After Program
Explore exciting career opportunities
Tableau Developer
Business Intelligence (BI) Analyst
Data Analyst
Visualization Specialist
Reporting Analyst
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Resources & References
Access curated external resources to deepen your understanding
LLMs & Generative AI
Official guide for GPT models and API usage
Pre-trained models, datasets, and community resources
Open-source LLaMA models and implementation guides
Claude AI research papers and documentation
RAG & Framework Docs
Complete guide to building LLM applications
Data indexing framework for LLM applications
Step-by-step RAG implementation
Efficient open-source LLM models
Vector Databases
Cloud-native vector database for AI applications
Facebook's efficient similarity search library
Open-source ML-first vector database
Open-source embeddings database
Best Practices & Learning
OpenAI's official prompt engineering best practices
Academic foundation for RAG architectures
Real-world RAG implementation patterns
Security and ethical considerations for AI apps
Deployment & DevOps
Containerization and deployment guide
CI/CD automation and workflow automation
Build data apps with simple Python scripts
Cloud deployment and infrastructure setup
Python & Development
Complete Python language reference
Modern Python web framework for APIs
Numerical computing with Python
Data manipulation and analysis library
Frequently Asked Questions
Find answers to common questions