End-to-end Data Science — from raw data to deployed ML models. 8+ real-world projects. Portfolio that gets you hired.
8 modules — each building on the last, creating a complete Data Scientist
NumPy, Pandas, Matplotlib, Seaborn — data manipulation mastery from scratch.
Distributions, hypothesis testing, confidence intervals, central limit theorem.
Patterns, outliers, correlations — turn raw data into actionable insights.
Encoding, scaling, imputation, selection — prepare perfect ML-ready datasets.
Regression, classification, clustering, ensemble methods and evaluation metrics.
XGBoost, LightGBM, model stacking and Optuna hyperparameter tuning.
Flask APIs, Streamlit dashboards, Docker and AWS cloud deployment.
Churn prediction, fraud detection, recommender system, NLP classifier — full portfolio.
Data manipulation, EDA, stats — 4 labs + 1 project.
Classical algorithms, evaluation — 3 labs + 2 projects.
XGBoost, ensembles, tuning — 2 labs + 2 projects.
APIs, cloud, portfolio demo — capstone project.
Everything used on day 1 in a real data job
Top roles and salary ranges for Data Science professionals — India 2025-26
"Placed as a Data Scientist at a fintech startup within 2 months. The end-to-end approach from raw data to deployment was exactly what employers wanted."
Common questions from aspiring Data Scientists
Basic high school math is enough. We teach all required statistics inside the course.
Yes — 8+ projects on real datasets. All yours to share with employers on GitHub and LinkedIn.
Absolutely. We start from Python basics in week 1 — no prior coding experience needed.
New batches every Monday. Call or WhatsApp us for current dates and seat availability.
Next batch this Monday — 8+ projects — Placement support included
Enroll Now Free Demo