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| 28 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 29 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 04 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 05 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
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| 28 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 29 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 04 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 05 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Secure Transaction
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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The Celonis Training course focuses on delivering in-depth knowledge of process mining techniques and the Celonis Execution Management System (EMS). It covers data integration, event log creation, process visualization, KPI analysis, and automation strategies. Learners will explore how Celonis helps organizations enhance productivity, reduce costs, and achieve operational excellence. The course includes practical labs, use cases, and expert guidance to ensure a strong understanding of the platform.
Celonis is process mining software.
Celonis allows deriving different process patterns and identifying deviations. All these variants are linked to a powerful “Analytics Engine” to calculate KPI's (Key Performance Indicators) to analyze throughput time.
Process mining is the technology at the heart of the Celonis Execution Management System, enabling users to fully understand how their core business processes run and find the inefficiencies getting in the way of performance, before taking intelligent, automated action to remove process gaps.
There are three main categories of process mining:
1) process discovery, 2) conformance checking, and 3) process enhancement.
Process mining reads data and transforms it into an event log. This event log contains three key pieces of information vital for process mining: a time stamp, a case ID, and an activity.