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 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.

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.

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.

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

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.

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.

Master essential data cleaning techniques in Python using powerful libraries and practical tasks. This course is designed for learners with intermediate Python skills who want to efficiently prepare and clean data for analysis and machine learning.

Master the essentials of data engineering with Microsoft Azure in this comprehensive course. Starting with foundational concepts like cloud computing, resource management, and storage solutions, you'll progress to hands-on training in Azure Data Factory (ADF), mastering ETL/ELT workflows, and advanced data transformations. Through practical examples and real-world problem-solving, you'll gain the skills to design, implement, and optimize scalable data solutions using Azure.