Data Science Classes in Wagholi 2026 — Python + ML + AI + GenAI (Near Kharadi)

Data Science classes at ABC Trainings Wagholi put you 5 minutes from the Kharadi IT corridor — home to Infosys BPO, Zensar, Synechron, HSBC Technology, Barclays, Sopra Steria, and CitiBank Technology. The 200-hour program covers Python, Pandas, SQL, statistics, classical ML (scikit-learn, XGBoost, SHAP), Deep Learning (PyTorch, transformers), GenAI applications (LangChain, RAG, vector DBs), Power BI dashboards, and MLOps fundamentals — ending with a live-deployed capstone project. Evening (7 PM – 9 PM) and weekend batches are designed for working professionals at Kharadi offices who want to transition into data science or ML roles without relocating.

10-Module Syllabus

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

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