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Instructor
Dr. Darshan Desai, Instructor - Predicting Insurance Customer Churn, Lifetime Value and Optimal Policy

Dr. Darshan Desai

Is a data Scientist with a strong quantitative background, demonstrated leadership, technical knowhow, and experience in analytics, data-mining, machine learning, statistics, CRM, and research. She loves to find useful insights in data and passionate about communicating it to a non-technical business audience. She received her MBA from Gujarat University and PhD from Nirma University of Science and Technology, India.
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Instructor: Dr. Darshan Desai

This course will give you a conceptual understanding of customer value and churn prediction in general.

  • Analyze healthcare insurance customers’ value in terms of risk vs cost analysis.
  • Build & evaluate customer value/churn models performance.
  • Instructor holds a Ph.D. and is a professor at Berkley College.

Duration: 2h 48m

Course Description

This course will give you a conceptual understanding of customer value, churn prediction in general and help you analyze healthcare insurance customers value in terms of risk vs cost analysis.

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What am I going to get from this course?

  • Have a conceptual understanding of customer value, and churn prediction in general
  • Analyze healthcare insurance customers’ value in terms of risk vs cost analysis
  • Build customer value/churn models
  • Evaluate customer value/churn models performance

Prerequisites and Target Audience

What will students need to know or do before starting this course?

  • Basic knowledge of statistics and probability.
  • An interest in data and a thirst for knowledge.

Who should take this course? Who should not?

  • Working within the insurance industry and interested in predicting Insurance customer churn, lifetime value and optimal policy.

Curriculum

Module 1: Customer Analytics

Lecture 1 Customer Analytics

Lecture 2 Customer Centric Insurers

Lecture 3 Diagnostic Customer Analytics

Quiz 1 Quiz-1

Module 2: Customer Value and Risk: Insurance Analytics

Lecture 4 Customer Value and Risk: Insurance Analytics
Lecture 5 Customer Value and Risk: Foundation of insurance Analytics
Lecture 6 Customer Lifetime Value
Quiz 2

Module 3: Health Insurance Analytics: Value and optimal Policy

Lecture 7 Forces Affecting Healthcare Analytics Innovation
Lecture 8 Assess Health Insurance Analytics Maturity
Lecture 9 Customer Value: Risk & Cost Analysis Using Machine Learning
Quiz 3

Module 4: Risk & Cost Analysis using Machine Learning

Lecture 10 D2Hawekeye

Lecture 11 Healthcare Data Challenges
Lecture 12 Project Guidance - 1
Quiz 4 Module 4 - Quiz 1
Lecture 13 Project Guidance - 2
Quiz 5 Module 4 Quiz -2

Module 5: Build and Evaluate Customer Churn/Value Models

Lecture 14 Churn: Definition and Perspectives
Lecture 15 Churn and Value Prediction
Lecture 16 Evaluating Churn Model Fundamentals Confusion Matrix - Terminology
Lecture 17 Case Study of Churn Prediction
Quiz 6 Module 5 Quiz

Reviews

2 Reviews

Aurelio G

September, 2019

It does not worth the money. It only shows very a very general approach. Most of the material can be found for free. Even some of the content is taken from other free courses. Quizs are really poor, and projects are very very basic.

Aurelio G

September, 2019

It does not worth the money. It only shows very a very general approach. Most of the material can be found for free. Even some of the content is taken from other free courses. Quizs are really poor, and projects are very very basic.