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Process Mining for Data-Driven Process Improvement

Packt via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

6 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Process Mining Courses

Overview

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This course explores process mining from basics to advanced, with hands-on ProM and Disco exercises. Learn process discovery, conformance checking, and predictive monitoring to optimize business processes. In this course, you’ll begin by exploring the foundational concepts of process mining, starting with event logs and their structure, followed by different types of process mining. With real-world examples, you’ll gain insight into how process mining can significantly improve business processes. As you progress, you will dive deeper into tools like ProM and Disco, where you’ll learn how to apply process discovery and conformance checking techniques. The course highlights the practical use of process mining software, including setting up ProM and performing tasks like process discovery using Alpha Miner, Fuzzy Miner, and Inductive Miner. You’ll also discover how these tools help in predictive process mining and multi-perspective process mining, providing a comprehensive view of business processes and their efficiencies. Designed for professionals, this course equips you with the knowledge to leverage process mining for data-driven decision-making. Whether you’re a data analyst, process manager, or BI expert, you’ll learn how to integrate process mining with other BI tools to optimize performance. Professionals in business intelligence, data analytics, and process management. Ideal for data analysts, process managers, and BI experts. No prior experience required, but familiarity with data analysis is beneficial. This course combines theoretical knowledge with hands-on practice using process mining software. It incorporates real-world examples to ensure learners can immediately apply concepts to business contexts. Interactive exercises throughout the course ensure active engagement and mastery of each technique. This course is based on Process Mining for Data-Driven Process Improvement, by Dr. Florian Detzel. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction
- This module introduces learners to the fundamentals of process mining, including its definition, applications, and integration with business intelligence. It covers key concepts, critical questions, and real-world use cases to provide a comprehensive understanding of how process mining drives process improvement.
Event Logs
- This module explores the fundamentals of event logs in process mining, including their structure, formats, quality criteria, and real-world applications. Learners will gain an understanding of how to evaluate and improve data quality in process mining projects. The content also covers common data challenges and essential logging concepts.
Types of Process Mining
- This module covers the different types of process mining, including process discovery, conformance checking, and enhancement. Learners will gain a comprehensive understanding of the techniques, algorithms, and practical applications used in each stage of the process mining lifecycle.
Process Mining Software
- This module provides an in-depth overview of process mining software, focusing on key features, vendor evaluation methods, and hands-on exploration of popular tools like ProM and Disco. Learners will gain practical knowledge on how to assess and utilize process mining platforms effectively.
Applying Process Mining (Exercises)
- This module provides hands-on training in using process mining tools like ProM and Disco to analyze and visualize workflows. Learners will gain practical skills in setting up tools, discovering processes, and checking conformance. The content covers both theoretical concepts and real-world applications.
Advanced Topics
- This module delves into advanced process mining techniques, including integrating BI with process mining, exploring Petri Nets, analyzing key metrics and KPIs, and examining object-centric, predictive, and multi-perspective approaches. Learners will also explore social network mining and practical applications in real-world scenarios.