Online Course In Data Science Course In Defence Colony

Module 1: Advanced Python & High-Speed Exploratory Data Analysis (EDA)

Modern Python fundamentals, vectorized operations with NumPy, data wrangling with Pandas 2.x and Polars, feature cleaning, handling nulls/outliers, and interactive visualizations with Matplotlib, Seaborn, and Plotly Express.

Module 2: Applied Mathematics, Probability & Statistical Inference

Descriptive and inferential statistics, probability distributions, central limit theorem, hypothesis testing (t-tests, ANOVA, Chi-Square), A/B testing frameworks, covariance, and correlation matrices for business decisions.

Module 3: Machine Learning & Predictive Modeling

End-to-end predictive pipelines: Linear/Logistic Regression, Decision Trees, Random Forests, Gradient Boosted Trees (XGBoost, CatBoost, LightGBM), Support Vector Machines, KNN, and clustering algorithms (K-Means, DBSCAN, PCA dimensionality reduction). Cross-validation, ROC-AUC, and hyperparameter optimization.

Module 4: Deep Learning & Neural Network Architectures

Introduction to PyTorch and TensorFlow/Keras. Multi-layer perceptrons, backpropagation, convolutional neural networks (CNNs) for computer vision, recurrent networks (LSTM/GRU) for sequence and time-series forecasting.

Module 5: Generative AI, Large Language Models (LLMs) & Prompt Engineering

Transformer architecture mechanics, fine-tuning LLMs, prompt engineering, vector databases (Pinecone, ChromaDB), LangChain orchestration, and implementing Retrieval-Augmented Generation (RAG) knowledge assistants.

Module 6: Production MLOps, Model Serving & Cloud Deployment

Transitioning models to production: building RESTful inference APIs with FastAPI, interactive analytics dashboards with Streamlit, model containerization using Docker, experiment tracking with MLflow, and cloud deployment pipelines.

Module 7: Capstone Projects & Placement Portfolio

Develop 5 enterprise-grade portfolio projects: Credit Risk & Fraud Detection Engine, E-Commerce Predictive Recommendation System, Multi-Modal Computer Vision Classifier, and an Enterprise RAG AI Search Bot with full GitHub documentation.