Industry Use Case

Exploratory Data Analysis on Travel Insurance Data

This project exposes the learner to various Data Visualization Techniques to analyze travel insurance data for Global customers.

Exploratory Data Analysis on Travel Insurance data for Global Customers
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required.

  • Asset 1
    Duration: Approximately 2 hours

Case Overview

  • Exploratory data analysis is the crucial process of doing preliminary analyses on data in order to find patterns, identify anomalies, test hypotheses, and double-check assertions with the aid of descriptive statistic and graphical representations.
  • Unexpected events can irreparably damage a trip. The unplanned events, like misplacing a passport or getting into a car accident, are out of one’s control. But one can make a financial backup plan in case of unanticipated health concerns or other travel-related complications.
  • Travel insurance is critical because it protects against various travel-related situations, ensuring that customers do not go over budget when confronted with such circumstances.
  • Learn to use data visualization techniques for visually summarizing how travel companies might leverage travel insurance data to more effectively target interested individuals.

What’s included

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Skills you will learn

Data Mining

Data Management

Data Visualization

Feature Engineering Concepts

Associated Learning Tasks

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