INSURANCE DATA ANALYTICS

About this Course

  • 142 students enrolled
  • 4 instructors

Course Description

Data mining involves the process of selecting, exploring and modelling large databases to discover hidden patterns, rules and relationships which can be useful information for insurance companies. This course will cover the fundamentals of data mining with a balance of theory and practice by focusing on insurance databases. Students will learn to apply data mining techniques using software for data mining and data analytics.

Course Learning Outcomes

1 ) Discover knowledge in insurance databases using various data mining techniques.
2 ) Demonstrate the skills of using data mining software in analysing insurance databases.
3 ) Explain data mining techniques and their applications in the insurance industry.

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 4 hours per week
MODE : 100% Online
COURSE LEVEL : Intermediate
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

Join this course

 Syllabus

Data Mining Overview
Data Mining Issues
Data Mining Process
Basic Data Mining Tasks
Social Implications of Data Mining

IBM SPSS Modeler Overview
Opening and Reading Data Files
Building and Saving Streams
Assessing Data Quality
Missing Data

Decision Trees Overview
Decision Tree Algorithm
Actuarial Experiment (Building Decision Tree in IBM SPSS Modeler)
Model Interpretation

Regression Overview
Linear Regression vs Logistic Regression
Actuarial Experiment (Building Logistic Regression in IBM SPSS Modeler)
Model Interpretation

Neural Network Overview
Actuarial Experiment (Building Neural Network in IBM SPSS Modeler)
Model Interpretation

Comparison of Models
Model Scoring

R Basics
R nodes in IBM SPSS Modeler
Custom Dialog Builder
Actuarial Experiment

Our Instructor

MUHAMMAD HILMI BIN SAMIAN

 Course Instructor
UiTM Kampus Seremban 3

NOR MARIYAH BINTI ABDUL GHAFAR

 Course Instructor
UiTM Kampus Tapah

AHMAD NUR AZAM BIN AHMAD RIDZUAN

 Course Instructor
UiTM Kampus Tapah

NUR HAIDAR BINTI HANAFI

 Course Instructor
UiTM Kampus Seremban 3

 Frequently Asked Questions

A1 : This course will be using SAS E Miner Software to analyze big database.

A2 : No. We will be using SAS E Miner with user friendly interface. Thus, no knowledge on coding language is needed.

A3 : Yes, all databases used in this course will be provided to all students.

A4 : No need because we will be using cloud version of SAS E Miner.