{"id":14567,"date":"2026-08-10T11:15:36","date_gmt":"2026-08-10T11:15:36","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/coursera-process-mining-data-science-in-action-2026-6\/"},"modified":"2026-08-10T11:15:36","modified_gmt":"2026-08-10T11:15:36","slug":"coursera-process-mining-data-science-in-action-2026-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/coursera-process-mining-data-science-in-action-2026-6\/","title":{"rendered":"Coursera \u2013 Process Mining: Data science in Action 2026-6"},"content":{"rendered":"
\n

Descriptions<\/h2>\n

Process Mining: Data science in Action, Process mining is the missing link between model-based process analysis and data-oriented techniques. Using concrete datasets and easy-to-use software, this course teaches data-science knowledge you can apply directly to analyze and improve operational processes across domains. It shows how event data (observed behaviour) can be confronted with process models (hand-crafted or discovered automatically) and covers key analysis techniques such as process discovery algorithms, model evaluation, verification and validation, and other event-data\u2013based analyses. The course provides practical software tools, real-life datasets, and hands-on skills for applications including hospital treatment processes, customer-service improvements in multinational companies, understanding customer browsing behaviour on booking sites, analysing baggage-handling failures, and improving medical imaging device interfaces. By treating dynamic behaviour as \u201cdata science in action,\u201d the curriculum helps learners bridge traditional model-based approaches (like simulation and BPM) with data-centric methods such as machine learning and data mining.<\/p>\n

What you\u2019ll learn<\/h3>\n