Foundations of Data Science with Process and Text Mining

As organizations collect more information than ever before, the ability to turn raw data into actionable intelligence has become an essential professional skill. This comprehensive text-only course introduces you to the core principles of data science, guiding you step-by-step from fundamental definitions to advanced analysis patterns. You will first grasp essential terminology and data quality standards, building a solid foundation before moving into practical analytical methodologies. By reading through clear explanations and analyzing structured examples, you will learn how to clean messy datasets, apply machine learning models, and extract hidden patterns from text and event logs. What you'll learn: - Understand foundational data science concepts, data quality principles, and preprocessing techniques. - Apply supervised and unsupervised learning algorithms to classify data and discover natural groupings. - Evaluate model performance using current industry-standard metrics and validation strategies. - Analyze sequential data and discover structural workflows using modern process mining techniques. - Extract meaningful insights from unstructured textual data using foundational text mining methods. - Implement responsible data science practices, focusing on fairness, privacy, and ethical data usage. The course begins with an introduction to key concepts and data preparation workflows, moves into core machine learning and pattern mining techniques, and concludes with specialized topics like process mining and data ethics. This foundational program is designed specifically for beginners with no prior data science or programming experience. Start your journey into the world of data analysis today.