Overview
Context of the Market Basket Analysis in Python course at Data Camp
What do Amazon product recommendations and Netflix movie suggestions have in common? They both rely on Market Basket Analysis, which is a powerful tool for translating vast amounts of customer transaction and viewing data into simple rules for product promotion and recommendation.
You’ll then reinforce your new skills through interactive exercises, building recommendations for a small grocery store, a library, an e-book seller, a novelty gift retailer, and a movie streaming service. In the process, you’ll uncover hidden insights to improve recommendations for customers.
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Visit official programme websiteProgramme Structure
Chapters
- Association Rules
- Aggregation and Pruning
- Visualizing Rules
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Marketing Business Intelligence & Analytics Data Science & Big Data View 597 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Data Manipulation with pandas
Make sure you meet all requirements
Visit official programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
- Basic Access: Free
- Enterprise: Contact sales for pricing
- Premium (for individuals): $5.75/month billed annually
- Teams (for teams of 2 and up): $5.75 per user /month billed annually
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.