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Master Excel's dynamic array features through practical, column-based tasks. Learn to leverage spill behavior, core dynamic array functions, and advanced multi-step logic for efficient, modern spreadsheet solutions.

This course will help those who want to get some of Big Data basics, including different types of distributed computings and such programming paradigm as MapReduce. Also, main part of the course will be devoted to such framework as Apache Spark and it's high-level API PySpark using Python programming language.

Learn the foundations and advanced practices of software architecture, from core concepts and architectural types to high-level system design. Explore design patterns such as creational, structural, and behavioral to build scalable and maintainable solutions, and deepen your knowledge of scalability, performance, availability, fault tolerance, and security. Strengthen communication through effective documentation techniques including UML diagrams, architecture diagrams, and decision records. By the end, you will be ready to influence key architectural decisions and design robust, future-ready systems.

This exciting course is designed for those who aspire to learn web development and create their own website using the powerful Django framework with the Python programming language. From the basics to advanced functionalities, the course offers everything you need to successfully launch your first web project.

Gain a foundational understanding of Explainable AI (XAI): what it is, why it matters, key concepts, main techniques, and ethical considerations. This course is theory-focused, using clear explanations and quizzes to build your intuition about making AI systems more transparent and trustworthy.

A rigorous, mathematically grounded course on the theory and foundations of diffusion models for advanced ML practitioners. Covers forward and reverse diffusion, Markov chains, variational inference, ELBO, noise prediction, score matching, and SDE/ODE formulations.

A beginner-friendly, hands-on course that unravels the mysteries of Python metaclasses. Learn what metaclasses are, how they work, and how to use them to create powerful, flexible, and maintainable code. Each section blends clear theory with practical, real-world tasks to ensure deep understanding.

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Ready to try your hand at data science? This course is designed to challenge your existing knowledge and hands-on skills, ensuring you are fully prepared for any twists and turns a data science interview might present. We'll push your understanding of critical topics to the limit, assessing your readiness for real-life scenarios.

In this course, we will explore the basics of Pandas – a powerful Python library for organizing, manipulating and analyzing data. Each concept will be explained through short and clear video lessons, followed by fun and practical microtasks, which are designed to help you understand the syntax and remember how to use different features and functions in Pandas with confidence.

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