Full Stack Data Science
Develop end-to-end Data Science expertise, from data preparation to advanced AI and Machine Learning models.
Core Modules
- SQL for Data Extraction
- Power BI for Data Visualization
- ETL / ELT & Data Pipelines
- Data Warehousing Concepts
- Advanced Excel
- Python Programming
- Statistics for Data Science
- Machine Learning Algorithms
- Deep Learning Fundamentals
- AI Applications
Program Benefits
- 1 Year Training & Placement Support
- Expert Mentorship from Industry Professionals
- 15 Mock Interview Sessions
- After Mock Clearing → Resume, Certification & Profile Building
- 1 Repeat Batch Option for revision and practice
Course Duration
6–8 Months
Learning Style
Hands-on, project-based
Prerequisites
None – beginners welcome
12-16 Week Learning Roadmap
Topics are delivered through guided exercises and mini-projects that build your portfolio as you progress through the course.
Phase 1: Foundations (Weeks 1-3)
Excel for data cleaning, Python basics, Git version control. Understanding data roles and working with CSV datasets.
Phase 2: SQL + EDA (Weeks 4-6)
SQL queries, Pandas & NumPy, data modeling, exploratory data analysis with visualizations. Mini project on real datasets.
Phase 3: Core ML (Weeks 7-10)
Supervised/unsupervised learning, model evaluation, NLP intro. Build classification and regression models end-to-end.
Phase 4: BI + Capstone (Weeks 11-16)
Power BI & Tableau dashboards, complete data pipeline, capstone project, portfolio preparation, and final presentations.
Real-World Project Portfolio
Build at least 3 major interview-ready projects that demonstrate your expertise to potential employers:
Interview Preparation & Mentorship
Technical Interview Prep
- Data Science & ML concepts Q&A sessions
- SQL query practice (real interview style)
- Case-study questions and problem-solving
- Explaining ML models to non-technical audiences
Profile & Communication
- Resume optimization for Data Science/ML/BI roles
- LinkedIn & Naukri profile enhancement
- GitHub portfolio with documented notebooks
- Group discussions and presentation skills
1:1 Mock Interviews
Personalized technical and HR mock interviews with detailed feedback on communication, clarity, and structure to boost your confidence.
Internship & Placement Support
Career Designations After Placement
Launch your career in high-demand data science roles. Our graduates secure positions across various industries with titles including:

Data Scientist
Junior / Associate level

Data Analyst
Advanced / ML-focused

Decision Scientist
Analytics Consultant entry level

Machine Learning Engineer
Junior level

Business Analyst
Data / BI specialist
Package Range & Market Scope
“Package range for Data Science roles: approximately ₹5 LPA – ₹25 LPA+, depending on skills, performance, and company.”
Global & Future Scope
- US Bureau of Labor Statistics projects 34% growth in data scientist jobs from 2024-2034
- Data science careers expected to dominate job market by 2030
- Global salaries often $100K+ per year in developed markets
- Strong demand in India, US, Canada, EU, UK, and Gulf countries


