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Mastering Process Mining; A Step-by-Step Guide to Data-Driven Business Transformation

Mastering Process Mining; A Step-by-Step Guide to Data-Driven Business Transformation

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Mastering Process Mining: A Step-by-Step Guide to Data-Driven Business Transformation



Course Overview

This comprehensive course is designed to equip you with the knowledge and skills needed to master process mining and drive business transformation through data-driven insights. Upon completion, you will receive a certificate issued by The Art of Service.



Course Features

  • Interactive and Engaging: Interactive lessons, quizzes, and hands-on projects to keep you engaged and motivated.
  • Comprehensive and Personalized: A tailored learning experience that covers all aspects of process mining, from basics to advanced topics.
  • Up-to-date and Practical: Real-world applications and case studies to help you apply your knowledge in practical scenarios.
  • High-quality Content and Expert Instructors: Learn from experienced instructors and access high-quality content, including video lessons, readings, and resources.
  • Certification and Flexible Learning: Receive a certificate upon completion and enjoy flexible learning options, including self-paced and mobile-accessible content.
  • User-friendly and Community-driven: Connect with peers and instructors through our user-friendly platform and community forums.
  • Actionable Insights and Hands-on Projects: Apply your knowledge through hands-on projects and gain actionable insights to drive business transformation.
  • Bite-sized Lessons and Lifetime Access: Access bite-sized lessons and enjoy lifetime access to course content, including future updates.
  • Gamification and Progress Tracking: Track your progress and stay motivated through our gamification features and progress tracking tools.


Course Outline

Module 1: Introduction to Process Mining

  • What is Process Mining?: Definition, benefits, and applications of process mining.
  • Process Mining vs. Traditional Business Process Management: Comparison of process mining with traditional BPM approaches.
  • Key Concepts and Terminology: Introduction to key concepts and terminology used in process mining.

Module 2: Data Preparation and Integration

  • Data Sources and Types: Overview of data sources and types used in process mining.
  • Data Preparation and Cleaning: Techniques for preparing and cleaning data for process mining.
  • Data Integration and Storage: Methods for integrating and storing data for process mining.

Module 3: Process Mining Techniques and Tools

  • Process Mining Techniques: Overview of process mining techniques, including process discovery, conformance checking, and enhancement.
  • Process Mining Tools: Introduction to popular process mining tools, including ProM, Disco, and Celonis.
  • Tool Selection and Evaluation: Criteria for selecting and evaluating process mining tools.

Module 4: Process Discovery and Visualization

  • Process Discovery Techniques: Methods for discovering processes from event data.
  • Process Visualization: Techniques for visualizing processes, including process maps and heat maps.
  • Process Analysis and Interpretation: Methods for analyzing and interpreting process data.

Module 5: Conformance Checking and Enhancement

  • Conformance Checking Techniques: Methods for checking conformance between process models and event data.
  • Process Enhancement Techniques: Methods for enhancing process models based on event data.
  • Process Improvement and Optimization: Strategies for improving and optimizing processes based on process mining insights.

Module 6: Advanced Process Mining Topics

  • Multi-Instance Process Mining: Techniques for mining processes with multiple instances.
  • Multi-Event Process Mining: Techniques for mining processes with multiple events.
  • Process Mining and Machine Learning: Integration of process mining with machine learning techniques.

Module 7: Case Studies and Real-World Applications

  • Case Studies in Process Mining: Real-world case studies of process mining applications.
  • Industry-Specific Process Mining Applications: Process mining applications in various industries, including healthcare, finance, and manufacturing.
  • Best Practices and Lessons Learned: Best practices and lessons learned from process mining case studies.

Module 8: Certification and Final Project

  • Final Project: Hands-on project to apply process mining skills and knowledge.
  • Certification Exam: Certification exam to assess knowledge and skills in process mining.
  • Certificate and Course Completion: Receipt of certificate and course completion.
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