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    Process Mining Courses Online

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

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    Explore the Process Mining Course Catalog

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Operational Analysis, Performance Analysis, Data Analysis, Real Time Data, Data Science, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Illinois Tech

      Operations and Process Management

      Skills you'll gain: Process Improvement, Process Management, Business Process, Process Analysis, Business Process Improvement, Performance Improvement, Quality Improvement, Process Mapping, Operations Management, Quality Management, Return On Investment, Change Management, Risk Management, Business Technologies, Project Management, Key Performance Indicators (KPIs), Emerging Technologies

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      142 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Business Analysis & Process Management

      Skills you'll gain: Process Analysis, Business Process, Business Analysis, Process Mapping, Workflow Management, Process Flow Diagrams, Business Modeling, Business Process Management, Stakeholder Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      6.4K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Warehousing, Analytics, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University at Buffalo

      Data-Driven Process Improvement

      Skills you'll gain: Process Mapping, Data Collection, Process Improvement, Business Process, Data Strategy, Data-Driven Decision-Making, Performance Measurement, Business Intelligence, Business Analytics, Operational Performance Management, Gap Analysis, Key Performance Indicators (KPIs), Data Quality, Internet Of Things

      4.7
      Rating, 4.7 out of 5 stars
      ·
      228 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Starweaver

      Business Process Modelling

      Skills you'll gain: Business Process Modeling, Business Process, Process Flow Diagrams, Process Analysis, Process Mapping, Business Modeling, Business Systems Analysis, Business Process Improvement, Requirements Elicitation, User Requirements Documents, Technical Documentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Visualization (Computer Graphics), Tableau Software, Plot (Graphics), Natural Language Processing, Unsupervised Learning, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics, Data Analysis, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Web Design for Everybody: Basics of Web Development & Coding

      Skills you'll gain: Wireframing, Responsive Web Design, HTML and CSS, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Web Design, Hypertext Markup Language (HTML), Browser Compatibility, Bootstrap (Front-End Framework), Javascript, Front-End Web Development, User Interface (UI), Verification And Validation, Web Development, Interactive Design, Usability, Web Design and Development, Application Frameworks, Event-Driven Programming, Web Applications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Data Presentation, Risk Analysis, Project Scoping, Process Mapping, Process Optimization, Requirements Management, Risk Management, Interactive Data Visualization, Business Requirements, Stakeholder Management, Work Breakdown Structure, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      ChatGPT + Zapier: AI-Powered Email Mastery

      Skills you'll gain: ChatGPT, Calendar Management, Organizational Skills, Generative AI, Artificial Intelligence, Gmail, HubSpot CRM, Business Process Automation, Google Workspace, Google Sheets, Workflow Management, Data Integration, Automation, Creative Thinking, Creativity, Google Docs, Data Processing, Business Correspondence, Customer Inquiries, Real Time Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: Storyboarding, Wireframing, UI/UX Research, Responsive Web Design, User Experience Design, Design Thinking, User Research, Information Architecture, Figma (Design Software), Usability Testing, User Story, Web Design, Design Reviews, Usability, Presentations, Design Research, Persona (User Experience), Ideation, User Centered Design, Mockups

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Insurance, Underwriting, Equities, Derivatives, Mortgage Loans, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    Process Mining learners also search

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    1234…346

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

    • Process Mining: Data science in Action: Eindhoven University of Technology
    • Operations and Process Management: Illinois Tech
    • Business Analysis & Process Management: Coursera Project Network
    • Introduction to Data Analytics: IBM
    • Data-Driven Process Improvement: University at Buffalo
    • Business Process Modelling: Starweaver
    • Data Mining: University of Illinois Urbana-Champaign
    • Web Design for Everybody: Basics of Web Development & Coding: University of Michigan
    • IBM Business Analyst: IBM
    • ChatGPT + Zapier: AI-Powered Email Mastery: Vanderbilt University

    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.

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