Process Mining: Data Science For Process Excellence

Process Mining: Data Science For Process Excellence - Printable Version

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Process Mining: Data Science For Process Excellence - AD-TEAM - 12-29-2024

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Process Mining: Data Science For Process Excellence
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.00 GB | Duration: 5h 30m

Learn and Apply Process Mining Fundamentals to Unlock Data Insights for Process Excellence and Process Improvements

What you'll learn

Understand Process Mining Fundamentals and event logs

Create and analyse process models based on event logs

Get familiar with common data quality issues and how to solve them

Learn how to choose the best Case ID

Get hands-on experience using free tools (e.g. ProM and Disco)

Understand Process Discovery and Conformance Checking

Learn how to derive insights from process mining results for improving your processes

Requirements

No expertise in Process Mining or Data Analytics is required! You will learn everything in this course.

Description

Are you looking to enhance your understanding of business processes and improve operational efficiency? Welcome to the ultimate Process Mining course that will transform the way you see your business workflows. Designed for professionals who want to harness the power of data to optimize processes, this hands-on course will equip you with the knowledge and skills to make smarter, data-driven decisions.Why Process Mining?In today's data-driven world, simply mapping out your business processes isn't enough. To stay competitive, you need clear, actionable insights into how your processes actually function. Process mining allows you to analyze data from your business systems and uncover hidden inefficiencies, bottlenecks, and improvement opportunities. It's the key to unlocking better productivity, cost savings, and more streamlined operations.What You'll LearnThroughout this course, we'll explore everything from the fundamentals of process mining to more advanced techniques. You'll learn how to extract and analyze real data from your business processes, identify patterns, and uncover actionable insights. By the end of this course, you'll know how to use process mining tools to visualize processes, diagnose issues, and implement improvements that have a measurable impact on business performance.We'll guide you through each step, from understanding the theory behind process mining to working with real data and tools. Along the way, you'll develop skills that can be applied directly to your current projects, giving you the ability to optimize processes for better decision-making.Why This Course?This course is designed for professionals in operations, data analysis, and management roles who are eager to improve their process management skills. With a hands-on approach, practical exercises, and expert guidance, you'll not only gain theoretical knowledge but also learn how to apply process mining techniques to your own business challenges. Whether you're new to the field or looking to sharpen your skills, this course is the perfect stepping stone to mastering process mining.Take the Next Step in Your CareerReady to ELEVATE your business processes? Join this course today and learn how process mining can help you unlock hidden insights, streamline operations, and drive continuous improvement in your organization. Start your journey towards becoming a process mining expert and give your career the competitive edge it needs!

Overview

Section 1: Module 1: Introduction

Lecture 1 Getting to Know Your Lecturer

Lecture 2 Course Agenda - Overview

Lecture 3 Learning Objectives

Lecture 4 Process Mining - Definition

Lecture 5 Questions for Process Mining

Lecture 6 Process Mining - A basic Example

Lecture 7 Process Mining and Business Process Management

Lecture 8 Process Mining and BI - Data-driven Insights Into Processes

Lecture 9 Where is Process Mining typically Used?

Lecture 10 Benefits of Process Mining

Lecture 11 Download the Course Materials

Section 2: Module 2: Event Logs

Lecture 12 Event Logs - The Basics

Lecture 13 Event Logs - Structure and Formats

Lecture 14 Quality Criteria for Event Logs

Lecture 15 Event Log - A Real World Example

Lecture 16 Data Quality Issues in Process Mining

Lecture 17 Process Mining - Basic Logging Concepts

Section 3: Module 3: Types of Process Mining

Lecture 18 Overview

Lecture 19 Process Discovery

Lecture 20 Types of Process Discovery Algorithms

Lecture 21 Process Discovery - Concurrency

Lecture 22 Conformance Checking

Lecture 23 Conformance Checking Techniques

Lecture 24 Conformance Checking - Key Benefits

Lecture 25 Conformance Checking - Use Cases

Lecture 26 Enhancement

Lecture 27 Enhancement - Repair

Lecture 28 Enhancement - Extend

Lecture 29 Enhancement - The Wider Perspectives

Lecture 30 Process Mining L* Lifecycle

Section 4: Module 4: Process Mining Software

Lecture 31 Process Mining Software - Features

Lecture 32 Gartner Magic Quadrant for Process Mining Platforms

Lecture 33 ProM

Lecture 34 Disco

Section 5: Module 5: Applying Process Mining (Exercises)

Lecture 35 Download the Event Logs used in this course

Lecture 36 Download ProM

Lecture 37 ProM: Download, Setup & Getting Started

Lecture 38 ProM: Introducing the User Interface

Lecture 39 ProM: View Event Log Statistics

Lecture 40 ProM: Process Discovery with Alpha Miner

Lecture 41 ProM: Process Discovery with Fuzzy Miner

Lecture 42 ProM: Process Discovery with Inductive Miner

Lecture 43 ProM: Conformance Checking

Lecture 44 Download Disco

Lecture 45 Disco: Download & Setup

Lecture 46 Disco: Process Discovery

Section 6: Module 6: Advanced Topics

Lecture 47 Combining BI and Process Mining in a Power BI Dashboard

Lecture 48 Petri Nets

Lecture 49 Process Mining - Key Metrics and KPI (1/2)

Lecture 50 Process Mining - Key Metrics and KPI (2/2)

Lecture 51 Object-Centric Process Mining: Introduction

Lecture 52 Object-Centric Process Mining: Applications

Lecture 53 Object-Centric Process Mining: Challenges

Lecture 54 Predictive Process Monitoring

Lecture 55 Predictive Process Mining: Types of Predictions

Lecture 56 Predictive Process Mining: Applications

Lecture 57 Predictive Process Mining: Challenges

Lecture 58 Multi-Perspective Process Mining

Lecture 59 Multi-Perspective Process Mining - Applications

Lecture 60 Multi-Perspective Process Mining: Challenges

Lecture 61 Social Network Mining from Processes

Lecture 62 Mining a Working Together Network in ProM

Lecture 63 Mining a Handover of Work Network in ProM

Section 7: Module 7: Conclusion

Lecture 64 Congratulations!

Lecture 65 Thank You!

This course is suited for everyone interested in Process Mining. It does not matter if you already have experience in Process Mining or not. The course is designed to teach the fundamentals and then - step-by-step - go into the details and practical application.,This course is especially relevant for Business Analyts, Data Analysts and Process Managers/Owners who want to extend their skillset.

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