Data Science with AI Specialisation
Learn modern data science with AI-powered analytics, ML, and automation for real-world impact.
14 weeks • 56+ hours
12 Modules • 80+ Resources
Course Overview
This specialization combines data analytics, statistics, machine learning, and artificial intelligence to help you solve complex real-world problems. You'll learn to work with datasets end-to-end — from cleaning and exploration to modeling, evaluation, and deployment.
Through hands-on projects, visual dashboards, ML experiments, and cloud deployments, you'll transform raw data into actionable insights and AI-powered solutions that drive smarter decisions in business and technology.
Topics Covered
Introduction to Data Science & AI
Python Programming for Analytics
Statistics & Probability for Data Science
Data Cleaning & Exploratory Data Analysis (EDA)
Data Visualization with Matplotlib, Seaborn & BI Tools
SQL, NoSQL & Data Warehousing
Supervised & Unsupervised Machine Learning
Feature Engineering & Model Optimization
Deep Learning for Data Science (ANN, CNN, RNN)
LLMs, Generative AI & Intelligent Data Applications
MLOps, CI/CD & Cloud Deployment
Real-World Business Case Studies & Capstone Project
What You'll Learn
Analyze structured & unstructured data and extract meaningful insights.
Build, train, and evaluate machine learning and deep learning models.
Work confidently with Python, SQL, data visualization, and cloud tools.
Deploy data science solutions and ML models to production environments.
Leverage Generative AI and LLMs to automate and enhance data workflows.