Save for later
Unsupervised Machine Learning for Customer Market Segmentation
In this hands-on guided project, we will train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1 hour |
Starts | Jul 10 (45 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Ryan Ahmed |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Market Researcher, North America, Airline Market $50k
Market Support $62k
Market Merchant $64k
Market Analyst 1 2 $77k
CRM Marketing Manager, Targeting (Customer Segmentation) - macys.com $80k
Market Leader 6 $81k
Market Planning $85k
Petroleum Market Analyst $89k
Associate Senior Segmentation Data Analyst $97k
Unit Manager of Marketing Research, Modeling, and Segmentation $98k
Segmentation Data Analyst Lead $139k
Manager, Field Marketing Operations - Segmentation Manager $144k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1 hour |
Starts | Jul 10 (45 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Ryan Ahmed |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course