Advanced Diploma in Data Science & Generative AI

Module 1: Python for Data Science

Python Basics: Variables, Data Types, Loops, Conditions
Functions, File Handling, Error Handling
Working with NumPy and Pandas
Data Cleaning and Transformation
Basic Data Visualization using Matplotlib & Seaborn
Mini Project: Analyze and clean a public dataset (e.g. COVID-19, IPL stats)

Module 2: SQL for Data Analytics

Module 3: Statistics & Probability for Data Science

Module 4: Data Visualization & Business Intelligence

Module 5: Supervised Machine Learning

Module 6: Unsupervised Machine Learning

Module 7: Deep Learning & Neural Networks

Module 8: Natural Language Processing (NLP)

Module 9: Generative AI & Prompt Engineering

Module 10: MLOps & Model Deployment

Capstone Projects

Course Content

Module 1: Python for Data Science

Python Basics: Variables, Data Types, Loops, Conditions

Functions, File Handling, Error Handling

Working with NumPy and Pandas

Data Cleaning and Transformation

Basic Data Visualization using Matplotlib & Seaborn

Mini Project: Analyze and clean a public dataset (e.g. COVID-19, IPL stats)

Module 2: SQL for Data Analytics

SQL Basics: SELECT, WHERE, GROUP BY, ORDER BY

Joins: INNER, LEFT, RIGHT, FULL

Subqueries and CTEs

Window Functions and Aggregates

Using SQL for Business Reporting

Mini Project: Create a sales reporting dashboard using SQL queries on a retail database

Module 3: Statistics & Probability for Data Science

Descriptive Statistics & Data Distributions

Probability Theory and Bayes’ Theorem

Hypothesis Testing: T-test, Z-test, Chi-square

Correlation & Covariance

Introduction to Linear Regression

Mini Project: Perform statistical analysis and A/B testing for an e-commerce website

Module 4: Data Visualization & Business Intelligence

Data Visualization Principles

Creating Dashboards with Power BI

Using Filters, Parameters, Slicers

Storytelling with Data

Publishing and Sharing Reports

Mini Project: Build an interactive sales dashboard for a fictional company

Module 5: Supervised Machine Learning

Linear & Logistic Regression

Decision Trees, Random Forest, KNN

Evaluation Metrics: Accuracy, Precision, Recall, F1 Score

Cross Validation and Model Tuning

Feature Selection and Scaling

Mini Project: Predict customer churn using telecom dataset

Module 6: Unsupervised Machine Learning

Clustering: K-Means, Hierarchical Clustering

Dimensionality Reduction with PCA

Anomaly Detection Techniques

Association Rule Mining

Market Basket Analysis

Mini Project: Perform customer segmentation for a retail business

Module 7: Deep Learning & Neural Networks

Neural Network Architecture & Activation Functions

Backpropagation and Gradient Descent

Regularization Techniques: Dropout, L1/L2

Introduction to TensorFlow/Keras

Model Evaluation and Tuning

Mini Project: Build an image classification model using MNIST dataset

Module 8: Natural Language Processing (NLP)

Text Preprocessing: Tokenization, Lemmatization, Stopwords

Bag of Words, TF-IDF, Word Embeddings

Sentiment Analysis and Topic Modeling

Named Entity Recognition (NER)

Text Classification with ML

Mini Project: Sentiment analysis on movie or product reviews dataset

Module 9: Generative AI & Prompt Engineering

Introduction to Generative AI and LLMs

Prompt Engineering Techniques

Using ChatGPT, Gemini, Claude for Automation

Applications in Content Creation, Resume Filtering, Report Generation

Introduction to LangChain and HuggingFace

Mini Project: Build a resume screening tool using OpenAI API and prompt templates

Module 10: MLOps & Model Deployment

Basics of Model Deployment

Introduction to Streamlit and Flask

Git & GitHub for Version Control

Deploying Models on Heroku or AWS (basic)

CI/CD Concepts Overview

Mini Project: Deploy a machine learning model with Streamlit & Heroku

Capstone Projects

Capstone Project 1: HR Analytics + GenAI Analyze employee data for attrition prediction / Build an AI-based resume parser and job-fitment predictor using LLM

Capstone Project 2: E-Commerce AI Assistant Create a recommendation engine / Build a GenAI-powered chatbot that explains products & answers user queries

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