No-Code AI and Data Analysis with Orange

Want to harness the power of artificial intelligence and data science without spending months learning complex programming languages? Visual programming tools make advanced data analysis accessible to everyone, regardless of technical background. This text-based course guides you through Orange, a powerful open-source visual tool for data mining and machine learning. You will progress from understanding core data concepts to building, evaluating, and interpreting your own predictive models. What you'll learn: - Understand foundational data analysis and machine learning terminology - Clean and preprocess raw datasets using visual workflows - Build predictive models using classification and regression algorithms - Evaluate model performance using confusion matrices and ROC curves - Apply unsupervised learning techniques like clustering to discover hidden patterns - Design clear visual representations of data to extract actionable insights You will start with key terminology and basic concepts of data science before moving step-by-step through data preparation, modeling, and evaluation. Each concept is reinforced with written walkthroughs and conceptual exercises designed to solidify your understanding of the machine learning pipeline. This course is designed specifically for beginners, business analysts, and researchers who want to apply AI to their data without coding. No prior programming experience or advanced mathematics are required. Start your journey into no-code data science today and unlock the stories hidden in your data.