Learning focus
- Python, analytics, and machine learning
- Generative AI foundations
- Three live portfolio projects
- Placement-oriented mentoring
A practical data science program for learners who want Python, analytics, machine learning, dashboards, and generative AI foundations packaged into one guided job-ready track.

Built for learners who want analytics, machine learning, and GenAI exposure in one track.
The program structure is designed for learners who want clear progress, guided projects, and a stronger story to tell in demos and interviews.
Each module is designed to move from guided practice into work you can explain, refine, and eventually showcase.
The goal is not just course completion. It is leaving with real work, measurable deliverables, and stronger project explanations.
Turn raw data into clear charts, KPIs, and stakeholder-friendly summaries.
Train and evaluate a practical model, then present what it predicts, where it fails, and why it matters.
Combine structured data thinking with an AI workflow to create a polished final project for your portfolio.
Students who prefer in-person learning can ask for offline batches and visit the Career Labs classroom near Gol Chowk before they decide.
No. The track is practical by design. Concepts are taught through analysis tasks, portfolio work, and mentor-reviewed projects rather than only slide-based lectures.
Yes. The track covers analytics and ML foundations first, then adds generative AI concepts and practical workflow usage so the learning feels connected.
Choose Data Science & AI if you are more interested in Python, dashboards, datasets, ML thinking, and AI-assisted analysis than in building full web products.
Share your background, preferred mode, and career goal. We will help you confirm whether this track is the right fit before you enroll.
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