Data Science and Machine Learning Bootcamp
Go from data to decisions with statistics, ML modelling, and production ML in one track.
10% launch discount applied · EMI option available
- Live mentor-led sessions
- Assessments & project reviews
- 3-month internship
- Certificate of completion
- AI Interview + AI Resume tools
- Placement assistance up to 12 months
Who this course is for
- College students targeting Data Scientist / Data Analyst roles
- Graduates and engineers pivoting into data science
- Anyone who wants both the statistics and the production ML side, not just one
Curriculum
- Python for data analysis
- Probability & statistical inference
- Hypothesis testing
Capstone project
An end-to-end analysis-to-model project solving a real business problem, presented like a stakeholder readout.
Internship & certification
3-month internship
After your capstone, you'll complete a 3-month internship applying your Data Science & ML Bootcamp skills to real project work, guided by your mentor, so you graduate with experience, not just a completed course.
Certificate of completion
Once you finish the course and internship, you get a verifiable certificate for your resume and LinkedIn.
Tools & technologies
Career outcomes
Where this track gets you hired
Hiring partners who actively recruit for the roles this track trains you for.
Real Projects You'll Work On
The Churn Predictor
Build and tune a classification model that predicts customer churn, then explain individual predictions with SHAP so a stakeholder can trust the model, not just its accuracy score.
The A/B Test Desk
Design and analyze an A/B test end-to-end, from hypothesis and sample size to a statistically sound recommendation.
The Forecasting Engine
Build a time-series forecasting model for demand or revenue and benchmark it against a naive baseline.
The Segment Finder
Use clustering to segment users from raw behavioural data and turn the clusters into actionable personas.
The Model In Production
Package a trained model behind a FastAPI endpoint, containerize it, and deploy it, so it's a live service, not a notebook.
The Capstone Case Study
Solve an end-to-end business case: clean the data, model it, and present a decision-ready recommendation, documented like a real analytics deliverable.
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