EdX

A Hands-On Introduction to Process Mining (edX)

Offered by RWTH Aachen, RWTHx,
A Hands-On Introduction to Process Mining (edX)

Compact course to learn the basics of Process mining. After this course, you will understand the concepts and you will be able to analyze event data. Using the provided software, you can immediately start improving any operational process.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Process mining is an exciting new technology that enables organizations to improve operational processes in a data-driven manner. Process mining can be applied in logistics, finance, production, sales, and healthcare. This hands-on course explains the key concepts and techniques in process mining. You will learn about automated process discovery, conformance checking, performance analysis, and applications of machine learning to event data. The theoretical concepts learned are tool and application-independent. However, to be able to apply these concepts, the course provides several data sets and access to the Celonis process mining software. After taking this compact course, participants understand current trends in process management and automation, know the key process discovery and conformance checking algorithms, and can apply these to real-life data sets using the Celonis software. Moreover, it is clear how comparative and predictive process mining techniques can be used to perform root cause analysis of performance and compliance problems in any domain.

What you'll learn

  • Understand and apply process discovery techniques
  • Understand and apply conformance checking techniques
  • Process modeling techniques such as DFGs, BPMN, and Petri nets
  • Extracting event data for process mining
  • Compare and analyze operational processes
  • Know the connection between process mining, data science, and machine learning
  • Know the connection between process mining, process science, automation, and process management
  • Use the Celonis process mining software using your own data sets

Syllabus

Week1: Welcome and basic concepts
Overview of the Process Mining Field and Basic Concepts
Introduction to Celonis Tool

Week2: Process discovery
Process Discovery and Directly-Follows Graphs * Discover Sophisticated Process Models (introduction to inductive miner and different process modeling notations)

Week3: Conformance checking
Alignment-Based Conformance Checking Footprint-Based Conformance Checking Token-Based Replay Conformance Checking

Week4: Process Analysis
From Traditional Event Logs to Object-Centric Event Logs * Comparative and Predictive Process Mining

Week5: Closing and Final Quiz
Closing Talk * Theoretical and Hands-on Final Exam (verified track)

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Computer Science and Programming (edX) EdX
Tokyo Institute of Technology,TokyoTechX

Introduction to Computer Science and Programming (edX)

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simultation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to basics and key concepts of computer science. By following the lectures and exercises of this course you will have an understanding of algorithms and you will get a real experience of programming using the language Ruby.

Self Paced
Self-Paced
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model. Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Digital Marketing Analytics: Tools and Techniques (edX) EdX
University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Digital Marketing Analytics: Tools and Techniques (edX)

Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and SEM strategies including web analytics, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.

Self Paced
Self-Paced
PyTorch Basics for Machine Learning (edX) EdX
IBM

PyTorch Basics for Machine Learning (edX)

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

Self Paced
Self-Paced
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Essentials of Genomics and Biomedical Informatics (edX) EdX
IsraelX

Essentials of Genomics and Biomedical Informatics (edX)

This course presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine and how to exploit it for research and in the clinic. The course will not make you a bioinformatician but will introduce the main concepts, tools, algorithms, and databases in this field.

Self Paced
5-12 Weeks
Data Science Tools (edX) EdX
IBM

Data Science Tools (edX)

Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

Self Paced
Self-Paced