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Data Science

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Data Analysis

Process Mining for Everyone

This course is for those who are new to process mining or are not familiar with it. Those who take this course will learn the process mining theory and various analysis techniques and know-how required for practical analysis.

(4.8) 43 reviews

2,332 learners

Process Mining
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What you will gain after the course

  • Basic concepts of process mining

  • Structure of event logs and how to extract data

  • Hands-on training using Disco software

  • Buying Process Analysis

  • How to handle incomplete cases

  • Ways to Simplify Process Complexity

  • Various analysis questions and cases

Process Mining for Everyone

Process mining is a cutting-edge data analysis technique focused on processes. It allows us to visualize actual process flows, enabling a quick and objective understanding of the overall process picture. It can uncover problem areas like bottlenecks and rework, clarifying or disproving intuitions. It can also identify areas for process automation for the introduction of Robotic Process Automation (RPA). After process changes and automation are implemented, their effectiveness can be verified. Furthermore, it provides insights that can aid in the development of optimization models using machine learning or deep learning. For these reasons, leading companies at home and abroad, including Volkswagen, Rabobank, Prudential, and Kakao M, are actively utilizing process mining.

With the advent of the Fourth Industrial Revolution, process mining is now an essential skill for practical professionals such as data analysts, business analysts, IT professionals, field managers, and auditors, as well as college students seeking employment in related fields. This course is designed for those new to or unfamiliar with process mining. Participants will learn the process mining theory, various analysis techniques (such as deriving processes from multiple perspectives, analyzing complex processes, and handling incomplete cases), and the know-how required for practical analysis. Become a process mining expert through this course.

Learning Objectives

  • Learn the process mining theory required for practical analysis.
  • Learn various process mining analysis techniques that can be used in practical analysis.
  • Develop process mining capabilities to uncover insights for improvement.

Helpful people

  • RPA (Robotic Process Automation) related personnel or consultants
  • Data analysts in charge of deep learning, machine learning, and data mining
  • Personnel or consultants involved in process innovation, such as ERP and Lean
  • Online marketers interested in customer journey analysis
  • Process Manager
  • IT department manager
  • Audit-related personnel or consultants
  • College and graduate students interested in data analysis and other related fields

Note

  • We offer hands-on training using Disco, a process mining software used by over 160 companies worldwide and successfully deployed in thousands of projects. You can utilize the four provided datasets for your training without having to apply for a separate license.

Introducing the knowledge sharer

Lee Bo-kyung
Dr. Bo-kyung Lee, the lead instructor for this course, is a Senior Process Miner at PMIG, a process mining company. She co-authored "Process Mining for Managers and Professionals," which was selected as an Outstanding Book by the National Academy of Sciences in 2017, and has worked on process mining projects for organizations such as the National Election Commission.

Recommended for
these people

Who is this course right for?

  • People interested in process mining

  • People who dream of becoming data analysts

  • People who want to improve business processes

  • People who want to prepare for the 4th industrial revolution

  • People who want practical training

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4,188

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Answers

4.8

Rating

2

Courses

Curriculum

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25 lectures ∙ (4hr 17min)

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Reviews

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43 reviews

4.8

43 reviews

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