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This project exposes the learner to various Data Visualization Techniques to analyze travel insurance data for Global customers.
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Difficulty: BeginnerNo prior knowledge or experience with data required.
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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
Associated Learning Tasks
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
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