• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Process Mining

    Process Mining Courses Online

    Explore process mining for analyzing business processes. Learn to extract insights from event logs to improve operational efficiency.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Process Mining Course Catalog

    • C

      Coursera Project Network

      Product Reviews Text-based Search - OpenAI Text Embedding

      Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Scatter Plots, Text Mining, Python Programming, Natural Language Processing, Data Manipulation

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Process, Business Environment, and Exam Preparation

      Skills you'll gain: Stakeholder Management, Project Risk Management, Project Management, Agile Methodology, Project Management Life Cycle, Compliance Management, Stakeholder Communications, Scope Management, Business Process, Requirements Management, Project Planning, Project Schedules, Governance, Change Management, Procurement

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Transformational Leadership in a Tech-Driven Marketplace

      Skills you'll gain: Culture Transformation, Innovation, Organizational Change, Business Transformation, Strategic Leadership, Business Communication, Change Management, Organizational Leadership, Organizational Structure, Business Planning, Competitive Analysis, Business Writing, Leadership, Business Analysis, Business Strategy, Presentations, Project Planning, Financial Planning

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Geometric and Traffic Aspects of Highway

      Skills you'll gain: Civil Engineering, Hydraulics, Grading (Landscape), Environmental Engineering, Construction, Engineering Calculations, Engineering Analysis, Engineering Design Process, Estimation, Design, Simulation and Simulation Software

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Davis

      Editing and Enhancing AI Generated Content

      Skills you'll gain: Editing, Prompt Engineering, AI Personalization, Generative AI Agents, Proofreading, Writing, Content Creation, Business Writing, Diversity and Inclusion, ChatGPT, Analysis, Data Ethics, Target Audience, Communication, Communication Strategies

      Beginner · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      Data Management and Sharing for NIH Proposals

      Skills you'll gain: Data Sharing, Data Storage, Data Management, Health Policy, Health Care Procedure and Regulation

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      الأخلاقيات والثقافة ووجهات النظر العالمية

      Skills you'll gain: Business Ethics, Ethical Standards And Conduct, Cultural Diversity, Global Marketing, Culture, Cultural Sensitivity, Branding, Cultural Responsiveness, Intercultural Competence, Stakeholder Management, Decision Making, Corporate Strategy, Consumer Behaviour

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Platform Product Essentials

      Skills you'll gain: Platform As A Service (PaaS), Digital Transformation, Cloud Platforms, Product Management, System Implementation, Systems Integration, Business Transformation, Cost Management, Business Process, Team Oriented, Enterprise Architecture, Project Management, Agile Methodology, Scalability, Business Strategy

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Éthique, culture et perspectives mondiales

      Skills you'll gain: Business Ethics, Culture, Cultural Diversity, Intercultural Competence, Global Marketing, Stakeholder Management, Brand Awareness, Consumer Behaviour, Decision Making

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced IT Tools, Career Prep, and System Management

      Skills you'll gain: Linux Administration, Linux, Linux Commands, Data Storage, Systems Administration, File Systems, Data Management, System Configuration, IT Management, System Monitoring, Data Sharing, Security Software, Information Technology, Network Troubleshooting, Virtualization

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Verbal Mastery: Grammar, RC, Reasoning for Exams & Job Tests

      Skills you'll gain: Problem Solving, Vocabulary, Analytical Skills, Deductive Reasoning, Critical Thinking, English Language, Grammar, Language Competency, Literacy, Verbal Communication Skills, Decision Making, Communication, Time Management

      Beginner · Course · 1 - 3 Months

    Process Mining learners also search

    Data Mining
    Analytics
    Business Intelligence
    Business Analytics
    Business Intelligence Projects
    Digital Analytics
    Web Analytics
    Financial Analytics
    1…320321322…338

    In summary, here are 10 of our most popular process mining courses

    • Product Reviews Text-based Search - OpenAI Text Embedding: Coursera Project Network
    • Process, Business Environment, and Exam Preparation: Packt
    • Transformational Leadership in a Tech-Driven Marketplace: Illinois Tech
    • Geometric and Traffic Aspects of Highway: L&T EduTech
    • Editing and Enhancing AI Generated Content: University of California, Davis
    • Data Management and Sharing for NIH Proposals: Fred Hutchinson Cancer Center
    • الأخلاقيات والثقافة ووجهات النظر العالمية: University of Illinois Urbana-Champaign
    • Machine Learning with PySpark: Edureka
    • Platform Product Essentials: University of Maryland, College Park
    • Éthique, culture et perspectives mondiales: University of Illinois Urbana-Champaign

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Process Mining

    Process Mining is an advanced analytical technique that involves extracting knowledge from event logs present in an information system. It provides valuable insights into the actual processes and workflows within an organization by uncovering the patterns, trends, and potential inefficiencies present in the data captured during the execution of these processes.

    By analyzing event logs, Process Mining can help identify bottlenecks, deviations, and variations in how processes are executed. This analysis enables organizations to understand their current processes in a visual and quantitative way, allowing them to optimize process efficiency, reduce costs, and improve overall productivity.

    In essence, Process Mining helps organizations gain a deep understanding of their operational processes by visualizing and analyzing the real data, providing valuable insights for process improvement and optimization.‎

    To excel in Process Mining, here are some key skills you need to learn:

    1. Data Analysis: A strong understanding of data analysis concepts is essential as Process Mining involves analyzing large sets of event data to identify process inefficiencies, bottlenecks, and opportunities for improvement.

    2. Process Mapping: Familiarize yourself with process mapping techniques to visualize and understand complex business processes. This skill will help you interpret process models generated from event logs and identify areas for optimization.

    3. Statistics and Probability: Proficiency in statistics and probability theory is beneficial for analyzing process data and drawing meaningful insights. This knowledge allows you to identify patterns, trends, and statistical deviations within the data.

    4. Domain Knowledge: Gaining domain knowledge is crucial to effectively apply Process Mining techniques to real-world processes. Develop a deep understanding of the industry or domain you intend to apply Process Mining in, as this will help you interpret the mined data accurately.

    5. Process Improvement Methodologies: Familiarize yourself with process improvement methodologies such as Lean Six Sigma, Business Process Management (BPM), or Agile to better align Process Mining findings with process improvement efforts. Understanding these methodologies will help you drive meaningful changes within organizations.

    6. Programming and Data Manipulation: Learning programming languages, especially those commonly used for data analysis like Python or R, will enable you to manipulate and analyze large datasets efficiently. This skill also helps in automating repetitive tasks and performing advanced analyses.

    7. Communication and Visualization: Being able to effectively communicate process insights is crucial. Develop skills in data visualization techniques and storytelling to present your findings in a clear and compelling manner to stakeholders.

    Remember, Process Mining is a multidisciplinary field that combines techniques from data analysis, statistics, business process management, and domain knowledge. Continual learning, curiosity, and an analytical mindset are essential for success in this domain.‎

    With Process Mining skills, you can pursue various job roles across industries. Some potential job options include:

    1. Process Analyst: As a process analyst, you will be responsible for analyzing and documenting existing processes in an organization, identifying bottlenecks, and suggesting improvements using Process Mining techniques.

    2. Business Process Consultant: In this role, you will work with organizations to optimize their business processes by utilizing Process Mining tools. You will identify gaps, recommend process improvements, and help implement them for increased efficiency and productivity.

    3. Data Analyst: Process Mining skills equip you with the ability to extract, analyze, and interpret data from various sources. As a data analyst, you can work on analyzing process-related data sets to identify patterns, deviations, and opportunities for improvement.

    4. Operations Analyst: With Process Mining skills, you can work as an operations analyst, where you will analyze and monitor real-time data to identify process bottlenecks, inefficiencies, and potential risks. You will collaborate with different teams to streamline operations and enhance overall performance.

    5. IT Consultant: As an IT consultant specializing in Process Mining, you will work with organizations to optimize their IT processes. This involves analyzing system logs and event data to identify inefficiencies, potential risks, and areas for automation and improvement.

    6. Performance Manager: With Process Mining skills, you can work as a performance manager, focusing on analyzing and improving key performance indicators (KPIs). By leveraging Process Mining techniques, you can identify process bottlenecks and inefficiencies that hinder organizational performance.

    7. Data Scientist: Process Mining skills can also be utilized in a data science role. You can apply your knowledge to process-related data analysis, modeling, and prediction, enabling organizations to make data-driven decisions and improve their processes.

    Remember, the job opportunities may vary based on your level of expertise, industry focus, and organizational needs. Continuous learning and staying up-to-date with the latest advancements in Process Mining will further enhance your career prospects in this field.‎

    People who are best suited for studying Process Mining are those who have a strong analytical mindset, enjoy problem-solving, and have an interest in understanding and improving business processes. They should also have a background in computer science, data analysis, or business administration, as these skills are highly relevant in the field of Process Mining. Additionally, individuals who are detail-oriented, have good communication skills, and are comfortable working with data and technology will excel in this area of study.‎

    Here are some topics that you can study related to Process Mining:

    1. Introduction to Process Mining: Learn the basics of process mining, including its definition, benefits, and common techniques used.

    2. Process Discovery: Understand the process discovery techniques, such as event logs analysis and alpha algorithm, used to extract process models from event data.

    3. Process Conformance: Explore the methods used to assess how well observed processes adhere to predefined process models, including conformance checking and performance measurement.

    4. Process Enhancement: Study techniques for process improvement and optimization by identifying bottlenecks, inefficiencies, and areas for process redesign.

    5. Process Mining Tools and Technologies: Get familiar with popular process mining software and tools like ProM, Celonis, Disco, and RapidMiner, and learn how to utilize them effectively.

    6. Real-life Applications of Process Mining: Discover various industry-specific use cases of process mining, such as healthcare, finance, logistics, and manufacturing, to understand how it is applied in practical scenarios.

    7. Process Mining and Data Analytics: Understand how process mining can be combined with other data analytics techniques, such as machine learning and predictive modeling, to gain deeper insights and make data-driven decisions.

    8. Process Mining in Large-Scale Environments: Explore the challenges and solutions for applying process mining in complex and large-scale environments, including distributed systems, cloud-based environments, and big data analytics.

    9. Ethical and Legal Considerations in Process Mining: Discuss the ethical implications and legal considerations associated with process mining, including privacy protection, data anonymization, and compliance with data protection regulations.

    10. Future Trends in Process Mining: Stay updated with the latest developments and emerging trends in process mining, such as real-time process monitoring, predictive process analytics, and process automation.

    Remember, there are various learning resources available online, including courses, tutorials, research papers, and videos, to help you dive deeper into these topics and gain a comprehensive understanding of process mining.‎

    Online Process Mining courses offer a convenient and flexible way to enhance your knowledge or learn new Process Mining is an advanced analytical technique that involves extracting knowledge from event logs present in an information system. It provides valuable insights into the actual processes and workflows within an organization by uncovering the patterns, trends, and potential inefficiencies present in the data captured during the execution of these processes.

    By analyzing event logs, Process Mining can help identify bottlenecks, deviations, and variations in how processes are executed. This analysis enables organizations to understand their current processes in a visual and quantitative way, allowing them to optimize process efficiency, reduce costs, and improve overall productivity.

    In essence, Process Mining helps organizations gain a deep understanding of their operational processes by visualizing and analyzing the real data, providing valuable insights for process improvement and optimization. skills. Choose from a wide range of Process Mining courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Process Mining, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok