Descriptions
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–based 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 “data science in action,” the curriculum helps learners bridge traditional model-based approaches (like simulation and BPM) with data-centric methods such as machine learning and data mining.
What you’ll learn
- Business Process Improvement
- Process Modeling
- Business Process Management
- Process Management
- Data Science
- Process Design
- Process Improvement
- Process Analysis
- Performance Analysis
- Data-Driven Decision-Making
- Business Process Modeling
- Operational Analysis
- Verification And Validation
- Data Mining
- Model Evaluation
- Real Time Data
- Big Data
Who this course is for
- Data scientists and analysts who want to apply data science to operational processes
- Process analysts and business analysts seeking practical tools for process discovery and improvement
- IT professionals and system engineers who work with event logs and operational systems
- Managers and consultants responsible for process optimization and operational excellence
- Students and researchers interested in applied process mining and data-driven process analysis
Specificatoin of Process Mining: Data science in Action
- Publisher : Coursera
- Teacher : Wil van der Aalst
- Language : English
- Level : Intermediate
- Number of Course :
- Duration : 2 hours and 10 minutes
Content of Process Mining: Data science in Action
Requirements
- Some related experience required
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
3.7 GB
