Data Science
Identify premium pricing attributes for home insurance using R/Python
A simple and brilliant opportunity to build proof of work in the extremely in-demand data science field of insur-tech.
Certified by
Role
Data Analyst
Industry
Real Estate
No. of Subscribers
37
Level
Intermediate
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
APS is a leading Real Estate solutions provider offering a wide gamut of services, ranging from highly targeted commercial leasing to asset advisory and management. They specialize in commercial interior works and undertake various construction projects.
Explore
the following work techniques
CRISP - DM Framework
Exploratory Data analysis with R/Python
Data Cleaning and wrangling in R/Python
Plotting in R/Python (Data Visualization)
Bridging the gap
In this menternship, created for you by real estate consultant company APS India, you will conduct exploratory data analysis using R/Python to identify the attributes of a house and its owner which can effect the price of the house's insurance premium.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Expected output
The insurance industry relies heavily on data science tools to optimize their pricing models. In the insurance business, customers go only for the lowest priced policies - and hence, competitive, data-driving pricing is a must for all insurance companies.
Create
the following deliverables
Exploratory data analysis report
Recommendation for premium pricing attributes for home insurance
What you’ll need before starting
R/Python, EDA
