Data Science · Intermediate
Applied Data Science Bootcamp
From SQL to shipped models: statistics, ML, MLOps and generative systems — with a graded portfolio reviewed by working data scientists.

Our most complete career-track programme. Twelve weeks of live instruction and mentored labs take analysts and engineers from data literacy to shipping models: statistical thinking, classical ML, deep learning foundations, MLOps discipline and the generative-AI systems reshaping the field.
Who it's for
Analysts, engineers and career-switchers with basic SQL/Python.
Tools & stack
What you'll walk away with
- Frame business problems as tractable data problems
- Build, validate and interpret classical ML models properly
- Operate the modern stack: experiment tracking to deployment
- Integrate LLMs and embeddings into data products
- Graduate with 3 portfolio projects reviewed by practitioners
Curriculum
01Statistical foundations
- Distributions and uncertainty
- Hypothesis testing that isn't theatre
- Causal thinking
- Experiment design
02Machine learning core
- Feature engineering
- Tree ensembles and linear models
- Validation and leakage
- Interpretability (SHAP)
03Deep learning & GenAI
- Neural nets from intuition
- Embeddings everywhere
- Fine-tuning vs prompting
- RAG architectures
04MLOps & delivery
- Pipelines and versioning
- Monitoring and drift
- Serving patterns
- Capstone delivery
Pricing
Value-based
Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.
Indicative rate card · ≈ ₹6,999/hr · $150/hr
Seats limited
Choose a cohort
New cohort dates announced weekly — enrol now and pick your dates with an advisor.
Pay by PO · nothing upfront · net 30 days · GeM & tender-ready
Or reserve a seat online
₹6,999deposit
Reserves your seat & dates. Balance invoiced per your engagement.
Secure · Razorpay · full refund 7+ days before start
Every enrolment includes
- • Qube copilot access throughout
- • All session recordings & materials
- • Graded applied project with review
- • Verifiable certificate on completion
- • 30-day post-programme support
Related programs
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