Data Science & AI Learning Hub

A curated collection of resources, tutorials, and guides to support your journey in learning Data Science and Artificial Intelligence.

Python for Data Science

Master the foundational language of AI and ML. Explore tutorials on NumPy, Pandas, Matplotlib, and more.

SQL For Data Science

Learn to effectively query and manage large datasets, from basic SELECT statements to advanced window functions.

Statistics & Data Analytics

Understand the core statistical concepts that underpin data science, from probability to hypothesis testing.

Machine Learning (ML)

Dive into core concepts like regression, classification, and clustering, with practical code examples.

Preprocessing Techniques

Discover the critical art of preparing your data, including data cleaning, feature scaling, and handling missing values.

Deep Learning (DL)

Explore the world of neural networks. Learn about CNNs for computer vision and RNNs for sequential data.

Prompt Engineering

This intensive course provides a rigorous foundation in the principles and practices of prompt engineering, moving beyond simple "chatbot" interactions to treating language models as programmable systems. Students will learn how to systematically elicit, control, and structure the output of Large Language Models (LLMs) for maximum reliability, efficiency, and capability.