In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

Explore how modern AI tools can transform the way you work and create. Learn to streamline daily tasks, generate high quality content, and speed up production using intuitive platforms built for productivity, design, audio, and video. Write faster, automate repetitive work, design stunning visuals, clean up recordings, and turn ideas into engaging videos with the help of AI. No technical background is required. Perfect for creators, marketers, educators, freelancers, and busy professionals who want to work smarter and get more done with less effort. Gain practical experience with tools that simplify complex tasks and unlock new creative potential.

Learn how to build clean, secure, and scalable applications with Object-Oriented Programming in Python. Cover the fundamentals of classes and objects, then moves into advanced concepts such as inheritance, composition, polymorphism, and encapsulation. With clear explanations and practical examples, you'll develop the ability to design Python programs that are powerful, maintainable, and ready for real-world use.

Transform your daily workflow from overwhelming busywork into streamlined productivity. Discover how AI agents can automatically manage emails, schedule meetings, create documents, and handle routine tasks that consume hours of your day. Through practical setup guides and real-world examples, master the integration of intelligent automation tools with popular platforms like Gmail, Slack, Google Calendar, and Microsoft Office. Stop drowning in repetitive work and start focusing on strategic, creative tasks that truly matter. Build your AI-powered workspace today.

Master the mathematical foundations essential for data science. Explore core concepts in functions, calculus, linear algebra, probability, and dimensionality reduction. Build both theoretical understanding and practical coding experience to strengthen your ability to analyze data, model complex systems, and apply advanced techniques in machine learning.

Master modern C++ through the power of the Standard Template Library. Learn how containers, iterators, and algorithms work together to create clean, efficient, and expressive code. Explore essential containers like vector, map, and unordered_map, understand their performance trade-offs, and apply core algorithms for searching, sorting, transforming, and generating data. Build a solid foundation for writing robust, reusable, and high-performance C++ programs.

Learn how to confidently value a business using Discounted Cash Flow (DCF) modeling. This practical course walks you through the entire valuation process—from understanding key financial concepts to building a complete DCF model in Excel. You'll explore core topics like free cash flows, discount rates, cost of equity, WACC, terminal value, and scenario analysis. With step-by-step examples, downloadable templates, and a real-world case study, you'll gain hands-on experience applying DCF in professional settings. Whether you're an aspiring analyst, investor, or business owner, this course gives you the tools to calculate intrinsic value and make informed financial decisions.

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.

Learn practical techniques to clean, transform, and engineer data for machine learning using Python. This course covers essential preprocessing steps, feature creation, and hands-on challenges to prepare data for modeling.

Learn how to create and customize spreadsheets in Google Sheets, work with formulas and functions, including logical operations, format data, and sort and filter information. Master data visualization with charts and ensure data security during collaboration.

Game design is the art and science of crafting engaging, immersive, and interactive experiences. Learn core game design concepts, such as player archetypes, gameplay mechanics, and design thinking, while also exploring ideation techniques, prototyping methods, and testing strategies. Through an iterative design approach, you'll gain the skills to conceptualize, refine, and evaluate games, whether for video games, board games, or interactive experiences. Perfect for aspiring game designers, developers, or anyone curious about the creative and analytical aspects of game design.

A beginner-friendly, fully theoretical course introducing the core concepts and practical strategies of prompt engineering for large language models (LLMs). Learn how to structure, refine, and optimize prompts to achieve better AI-generated results.

Learn the fundamentals of DevOps and how it streamlines software development. By the end, you'll understand key principles, automation, and version control to set up a basic DevOps workflow.

A comprehensive course on Java data types, covering primitives, reference types, type conversion, and practical applications. Designed for learners with basic Java syntax knowledge.

A comprehensive course on Python regular expressions, designed for learners with basic Python knowledge. This course covers regex syntax, pattern matching, advanced features, and practical applications through theory and hands-on tasks.