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

Market Basket Analysis in R

Course Cover

5

(3)

compare button icon
Course Report - Market Basket Analysis 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

How did you go grocery shopping last time? Do you see any connection between the products you purchased, such as tomatoes and spaghetti or ham and pineapple? Online and offline retailers can access millions of customer baskets information to determine associations between products and extract insight through association rules.

Market basket analysis can be used to determine the degree of relation between items. You can also use it to visualise relevant rules and discover connections. You will then be able put into practice all the knowledge that you have gained from analysing a movie library. It is possible to predict the most popular movies together and make personalized recommendations for your users.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Case Based Learning

projects-img

Post Course Interactions

projects-img

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Data Visualization with ggplot2

Introduction to the Tidyverse

What You Will Learn

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations

You’ll then get to practice what you’ve learned on a movie dataset, as you predict which movies are watched together to create personalized movie recommendations for users

Course Instructors

Author Image

Christopher Bruffaerts

Statistician

Christopher is a Data Scientist with a wealth of industry experience in different sectors from banking, telecommunications, energy, and education. He's passionate about teaching, learning, and identi...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover