Predictive Customer Analytics
Predictive Customer Analytics
Released/Updated: May 06, 2025
Duration: 1h 37m 13s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 204 MB
Genre: eLearning | Language: English
Released/Updated: May 06, 2025
Duration: 1h 37m 13s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 204 MB
Genre: eLearning | Language: English
Use big data to tell your customer's story, with predictive analytics. In this course, instructor Kumaran Ponnambalam teaches you about the customer life cycle and how predictive analytics can help improve every step of the customer journey.
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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.
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