Data Science Classes in Hadapsar 2026 — Python + ML + Deep Learning + GenAI

Data Science at ABC Trainings Hadapsar is a 200-hour project-driven program covering Python, Pandas, SQL, statistics, classical ML (scikit-learn, XGBoost), Deep Learning (PyTorch, transformers), GenAI applications (LangChain, RAG, vector DBs), and MLOps fundamentals. The program runs at our Hadapsar HQ on Pune-Solapur Road — 5-minute walk from Magarpatta SEZ — with weekday evening (7 PM – 9 PM) and weekend batches built for Persistent, KPIT, Capgemini, John Deere, and IBM Hadapsar professionals upskilling into AI/ML roles.

10-Module Syllabus

1. 1Python for data — NumPy, Pandas, broadcasting, vectorisation, IO from CSV/Parquet/SQL
2. 2SQL deep-dive — joins, window functions, CTEs, query optimisation, ETL on PostgreSQL
3. 3Statistics + probability — distributions, hypothesis testing, A/B test design, confidence intervals
4. 4EDA + visualization — matplotlib, seaborn, Plotly Dash, Power BI / Tableau dashboards
5. 5Classical ML with scikit-learn — regression, classification, clustering, feature engineering
6. 6XGBoost / LightGBM + hyperparameter tuning + Optuna + cross-validation strategies
7. 7Deep Learning with PyTorch — CNNs, RNNs/LSTMs, transformers basics, fine-tuning HuggingFace
8. 8GenAI for engineers — LLM apps with LangChain, RAG, vector DBs (Pinecone/pgvector), embeddings
9. 9MLOps essentials — MLflow, FastAPI for model serving, Docker, AWS SageMaker basics
10. 10Capstone — end-to-end ML project deployed live with monitoring, drift detection, A/B testing

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