Overview
Context
Last time you were at the supermarket, what was in your shopping basket? Was there a connection between the products you purchased, like spaghetti and tomatoes or ham and pineapple?
Whether online or offline, retailers use information from millions of customer’s baskets to analyze associations between items and extract insights using association rules.
In this Market Basket Analysis in R course offered by Data Camp, to help you quantify the degree of association between items you’ll use market basket analysis to uncover unseen connections and visualize relevant and insightful rules.
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.
Programme Structure
Chapters
- Metrics & Techniques in Market Basket Analysis
- Visualization in Market Basket Analysis
- Case Study: Market basket with Movies
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Introduction to Data Visualization with ggplot2
- Introduction to the Tidyverse
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions