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Track 01 · 6 months · Rolling intake

Become the data hire
every team is short on.

For students who want analytics, ML or applied-AI roles. No prior data background needed. Three months of intensive training. Three months of paid-grade internship on real client analytics and ML problems.

Duration
6 months
Structure
3 + 3 (Training + Internship)
Offline · Nashik
₹20,000
Online · India
₹10,000
The stack you'll know

Tools you'll use
on day one of work.

Daily live coding with the libraries, frameworks and platforms that working engineers actually use — not the ones a textbook lists.

PythonPandasscikit-learnTensorFlowFlaskPower BITableau
Sample work you'll ship

Real software,
on your portfolio.

  • Forecasting models for real businesses
  • Churn-prediction pipelines on live data
  • BI dashboards deployed to client teams
  • Deep-learning models behind production APIs
Curriculum

Six months,
month by month.

Daily code. Weekly demos. Every line shipped goes on your public GitHub.

MONTHS 1–3 · TRAINING

Build the data stack you'll use on day one.

Python, statistics, SQL, machine learning, deep-learning fundamentals, BI tools. Daily live coding — every session is committed to GitHub.

  • Python data stack — NumPy, Pandas, Matplotlib, Seaborn
  • Statistics, SQL, EDA workflows that scale
  • Supervised & unsupervised ML with scikit-learn
  • Deep-learning fundamentals — TensorFlow / Keras
  • Model deployment via Flask APIs
  • Power BI / Tableau for reporting
MONTHS 4–6 · INTERNSHIP

Own a real client analytics or ML project.

Three months on production work — under the same founders. Your name on the commits. Your work on real dashboards.

  • Pick a real client problem from YSM's portfolio
  • Scope, model, validate — defend in weekly reviews
  • Deploy your model behind an API
  • Ship the BI dashboard to the client team
  • Document everything · own the handover
  • Walk out with a portfolio piece, not a project file
You graduate with

A portfolio recruiters
can't ignore.

Not a participation ribbon. A verifiable certificate, deployed work, and direct intros into our hiring network — local enterprise and AI startups.

01
Verifiable certificate

A YSM certification — backed by deployed work, not a course completion.

02
Deployed portfolio

Live URLs and a public GitHub recruiters can actually click — not just slide-deck screenshots.

03
Hiring intros

Direct referrals through founder networks — local enterprise and AI startups, not a job-portal blast.

04
Engineer's confidence

The kind that comes from having actually done the job, not having watched a video about it.

If you're serious, do it now.

Apply to
Data Science.

Two minutes. A founder will reach out personally — usually within 24 hours.

WhatsApp · Call directly
Mon–Sat · 10 AM – 7 PM · Talk to a founder, not a salesperson.

Apply to Data Science

A founder calls you back within 24 hours.

Chat with a founder