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Business Process Analytics in R

IntermediateSkill Level
4.8+
41 reviews
Updated 09/2024
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.
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RReporting4 hr16 videos58 Exercises4,550 XP6,852Statement of Accomplishment

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Course Description

Although you might not have realized, processes take up an indispensable role in our daily lives. Your actions and those of others generate an extensive amount of data. Whether you are ordering a book, a train crosses a red light, or your thermostat heats your bathroom, every second millions of events are taking place which are stored in data centers around the world. These enormous sets of event data can be used to gain insight into processes in a virtually unlimited range of fields. However, the analysis of this data requires its own set of specific formats and techniques. This course will introduce you to process mining with R and demonstrate the different steps needed to analyze business processes.

Prerequisites

Data Manipulation with dplyr
1

Introduction to process analysis

The amount of event data has grown enormously during the last decades. A considerable amount of this data is recorded within the context of various business process. In this chapter, you will discover a methodology for analyzing process data, consisting of three stages: extraction, processing and analysis. You will have our first encounter with the specific elements of process data which are required for analysis, and have a first deep dive into the world of activities and traces, which will allow you to reveal of first glimpse of the process.
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2

Analysis techniques

A process can be looked at from different angles: the control-flow, the performance and the organizational background. In this chapter, you will make a deep dive into each of these perspectives. The control-flow refers to the different ways in which the process can be executed, and thus, how it is structured. Considering performance, we are both interested in discovering how long things take, as well as when they take place. Finally, the organizational perspective looks at the actors in the process.
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3

Event data processing

Event data rarely comes in a form which is ready to analyze. Therefore, you often require a set of tools to get the data in the right shape, before we can answer our research question. At the end of this chapter, you will be familiar with three common preprocessing tasks: filtering data, aggregating events and enriching data.
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4

Case study

In this final chapter we will use everything we have learned so far to do and end-to-end analysis of an order-to-cash process. Firstly, we will transform data from various sources to an event log. Secondly, we will have a helicopter view of the process, exploring the dimensions of the data and the different activities, stages and flows in the process. Finally, we will combine preprocessing and analysis tools to formulate an answer to several research questions.
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Business Process Analytics in R
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Don’t just take our word for it

*4.8
from 41 reviews
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17%
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  • Ozan Doğaç
    6 weeks ago

  • Damir
    2 months ago

  • Nitin
    2 months ago

  • Danish
    2 months ago

    ddd

  • Saquib
    2 months ago

  • Jose Antonio
    2 months ago

Ozan Doğaç

Damir

Nitin

FAQs

Is this course suitable for beginners?

Yes, this course is suitable for beginners! It provides a comprehensive introduction to the basics of business process analysis. The different chapters will guide you step by step through the process of extracting, processing and analyzing event data.

What topics will the course cover?

This course covers several topics related to exploring and analyzing business processes. Some of the topics include an introduction to process analysis, analysis techniques, event data processing, and a case study.

Will I receive a certificate at the end of the course?

Yes, at the end of the course you would receive a certificate of completion.

Will I learn how to interpret the results of my analyses?

Yes, you will learn how to interpret and draw meaningful conclusions from the results of your analyses. The course provides you with the skills you need to make sense of the data and understand how it can be used to improve the efficiency of a business process.

Who will benefit from this course?

This course will be extremely beneficial for professionals across various industries, such as data scientists, business analysts, process analysts, and operations managers. It is also a great way for anyone interested in exploring the world of big data and business process analytics to get started.

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