Predictive Customer Analytics
With Kumaran Ponnambalam
Liked by 308 users
Duration: 1h 36m
Skill level: Intermediate
Released: 4/12/2022
Course details
Start off by learning about the various phases in a customer's life cycle. Explore the data generated inside and outside your business, and ways the data can be collected and aggregated within your organization. Then review multiple use cases for predictive analytics in each phase of the customer's life cycle, including acquisition, upsell, service, and retention. For each phase, you also build one predictive analytics solution in Python. In the final videos, Kumaran introduces best practices for creating a customer analytics process from the ground up.
Skills you’ll gain
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Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Nayana S.
Nayana S.
Head of Data and AI Analytics | Global Leader of Cyber Security Analytics | Data Product Manager | Data Visualization | Story Telling | Governance
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Ing. Kevin Obioma Akalonu
Ing. Kevin Obioma Akalonu
Technical Support @ AT&T Global Network|Network-Security|Cyber-Security
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Tim Gallagher
Tim Gallagher
Customer Support Specialist - Tier Support at AT&T
Contents
What’s included
- Test your knowledge 7 quizzes
- Learn on the go Access on tablet and phone