Explore the mathematical foundations of spectral methods in machine learning. Understand how eigenvalues, eigenvectors, and spectral decompositions underpin dimensionality reduction, graph learning, and kernel methods, with a focus on theory and structure.

Explore the mathematical foundations of machine learning generalization. This course covers empirical risk minimization, bias–variance tradeoff, VC dimension, generalization bounds, and the theory of overfitting, equipping you with rigorous intuition for model selection and evaluation.

A beginner-friendly course focused on mastering string manipulation and handling various data formats in Python. Learn essential techniques for processing, formatting, and converting data, with hands-on practice and quizzes to reinforce your understanding.

Master the art of writing and applying subqueries in SQL through real-world scenarios. This course covers the theory and practice of subqueries, including their use in SELECT, WHERE, and FROM clauses, as well as correlated subqueries. Each section features a unique dataset and practical challenges to reinforce your learning.

Master the core concepts and hands-on techniques of transfer learning. Learn how to leverage pre-trained models for image classification and sentiment analysis, and gain practical experience with CNNs and transformers.

A comprehensive, code-free exploration of transformer-based language models, focusing on their architecture, text generation mechanics, and the theoretical principles underlying their behavior.

Explore TypeScript's type system, guiding you from the basics of primitive types to advanced concepts like type inference, narrowing, and safe handling of any and unknown. Learn how TypeScript makes JavaScript code safer, more robust, and easier to maintain.

Work with the DOM using TypeScript to write safer, clearer, and more predictable front-end code. Apply precise types to elements, events, and form inputs to avoid runtime errors and improve interactivity. Use type-driven patterns to select, update, create, and remove DOM elements with confidence.

Transition from JavaScript to TypeScript with practical, hands-on guidance. Compare syntax and workflows, migrate existing codebases safely, and use TypeScript's advanced typing system to create scalable, maintainable applications. Build confidence writing modern, type-safe JavaScript for real-world development.

The AWS Certified Developer – Associate certification validates your ability to develop, deploy, and troubleshoot cloud-based applications using AWS. This course provides a structured and hands-on approach to mastering AWS development concepts, from fundamental tools like AWS SDKs, IAM, and CloudFormation to serverless computing, event-driven architectures, and CI/CD automation. You'll gain practical experience with databases, caching solutions, and security best practices while optimizing applications for performance, scalability, and cost efficiency. The course also includes real-world scenarios and curated practice exam questions to help you confidently pass the certification exam. Whether you're a developer new to AWS or looking to formalize your knowledge, this course provides the essential skills needed to build modern cloud applications. This course is designed for developers who want to build, deploy, and optimize applications on AWS. Specifically, it benefits: Software Developers, DevOps & Cloud Engineers, Solution Architects (with Developer Focus), and Tech Leads & Engineering Managers

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Design shapes how people see, understand, and interact with the world. This learning path introduces the foundations needed to create clear, engaging, and meaningful visuals. From the basics of layout and structure to the nuances of typography and color, every element works together to communicate effectively. Along the way, you’ll discover how psychology, perception, and creative principles influence design decisions. By the end, you’ll have the tools to craft work that is both visually appealing and purpose-driven.

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.