Process Mining Fundamentals

Are your business processes running as efficiently as you think? Uncover the real story hidden within your operational data and learn how to identify bottlenecks, inefficiencies, and opportunities for improvement. This course provides a comprehensive introduction to the principles and practices of process mining. You will move from foundational theory to practical application, learning how to transform raw event logs into clear, actionable process maps. By the end, you'll be equipped to analyze real-world business processes, measure their performance, and suggest data-driven improvements. What you'll learn: - Understand the core concepts of process mining, including event logs, cases, and activities. - Learn to prepare and structure raw data for effective process analysis. - Apply process discovery algorithms to automatically generate process models from data. - Practice conformance checking to compare ideal process models against real-world execution. - Analyze process performance to identify bottlenecks, delays, and deviations. - Use Python with common libraries to perform basic process mining tasks programmatically. The course begins with key terminology and the fundamentals of process data before guiding you through practical exercises in process discovery, conformance, and enhancement. It is designed for complete beginners, and no prior experience in process mining or data science is required to get started. Begin your journey into data-driven process improvement today.