About This Program
Master AI-powered data analytics with Python, SQL, ML, and visualization tools. Become job-ready in 3 months with live mentorship, real projects, and placement support.
Course Overview
This intensive 3-month program transforms beginners into job-ready data analytics professionals. Learn AI-powered data analysis with Python, SQL, Machine Learning, and visualization tools through real-world projects and live mentorship with placement support.
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
Python (NumPy, Pandas, Scikit-learn)
SQL & Databases (MySQL/PostgreSQL)
Data Visualization (Power BI, Tableau, Matplotlib, Seaborn)
Statistics & Probability
Machine Learning (Regression, Classification, Clustering, Forecasting)
Big Data Basics (Spark/Hadoop concepts)
Cloud Platforms (AWS/GCP for ML deployment)
Git & GitHub (version control, collaboration)
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 | 3 Months (intensive, job-ready) | 6–12 Months (longer, less focused) |
Learning Format | Live Classes + Mentor Support + Real Projects | Mostly self-paced or generic recorded videos |
Python & SQL | Hands-on coding from Day 1 | Limited practice, more theory-heavy |
Statistics & Machine Learning | Practical ML (Regression, Classification, Clustering, Forecasting) | Covers basics, often lacks depth in AI-powered analytics |
Visualization Tools | Python + Power BI + Tableau | Focus on one tool only (Excel OR Tableau) |
Capstone Project | End-to-end project (Data → ML → Dashboard → Deployment) | Case studies or mini projects only |
Cloud Deployment | AWS/GCP integration for ML model deployment | Rarely included |
Mentorship & Code Reviews | Weekly code reviews, 1:1 mentoring, doubt clearing | Very limited or none |
Placement Support | Resume prep, mock interviews, industry connections | Limited or no direct support |
Cost & Value | Affordable, focused, outcome-driven | Higher cost, longer duration, generic content |
Key Highlights
Job Roles After Program
Explore exciting career opportunities
Data Analyst
Business Intelligence Analyst
Junior Data Scientist
Machine Learning Engineer (entry-level)
Analytics Consultant
Become the top 1% in your domain
Explore our specialized programs to accelerate your career
Advanced Tableau & Data Visualization Professional 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.
Power BI for Data Analytics Internship Program
Become a job-ready Power BI Developer/Analyst in 1 month. Master ETL with Power Query, advanced DAX (Time Intelligence, KPIs), and performance-oriented data modeling. Build and deploy end-to-end interactive dashboards with Row-Level Security (RLS).
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