Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Business Process Analytics in R

Course Cover

5

(3)

compare button icon
Course Report - Business Process Analytics in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4 hours

Course Description

Although you might not be aware of it, processes are an integral part of our daily lives. Your actions and those of others are responsible for creating data. Millions of events occur every second, regardless of whether you order a book or train crosses a redline. These data are stored in data centres all around the world. This huge amount of data can be used to gain insight into almost all aspects of a process. These data require a set of specific techniques and formats to be analysed. This course will show you how to use R for mining data, and the different steps needed to analyze business processes.

blur
blur

Highlights

blur

Rating & Reviews

Top 30 Percentile

blur

Pedagogy

Top 30 Percentile

blur

Parameters

cv-icon

Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Working with Data in the Tidyverse

What You Will Learn

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data

This course will introduce you to process mining with R and demonstrate the different steps needed to analyze business processes

Course Instructors

Author Image

Gert Janssenswillen

Author of bupaR package

Gert Janssenswillen is a PhD candidate at Hasselt University. His research focusses mainly on the quality measurement of discovered process models and inferential statistics in process mining. At Has...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover