Bootcamp Data Science
Intensive career bootcamp forging future Data Scientists with cutting-edge ML and MLOps pipelines.
An intensive career-launch bootcamp covering the complete data science lifecycle: big data wrangling, advanced machine learning ensembles, deep learning basics, NLP, time-series fo...
Who is This Class For?
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Aspiring professionals accelerating into Junior Data Scientist or ML Engineer roles.
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Quantitative graduates requiring production-ready, industry-standard portfolio case studies.
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Learners seeking an integrated path from data pipelines to live cloud model serving.
Includes 1-on-1 code reviews, technical mock interviews, and portfolio mentoring with Lead Data Scientists.
What Will Be Learned?
Phase 1: Statistical Foundations & Advanced Python Data Pipelines
Probability distributions, multivariate analysis, and automated data cleaning pipelines.
Phase 2: Applied Machine Learning, NLP & Time Series Forecasting
Ensemble architectures (XGBoost, LightGBM), sentiment text analytics, and time-series models.
Phase 3: MLOps Pipelines, Model Serving & Capstone Project
Wrapping models in FastAPI, Docker containers, cloud deployment, and graduation demo day.
Skills & Knowledge Gained
End-to-End Data Science Competency
Executing full data science lifecycles from problem framing to deployment.
Production-Grade AI Portfolios
Building real-world systems like fraud detection, churn prediction, or recommendation engines.
Technical Interview Readiness
Confidently answering ML coding challenges and system architecture questions in hiring interviews.
Course Fees
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