Industry Use Case

Application Of Descriptive Analytics in Banking

This project focuses on building a strong foundation on the Descriptive analysis and methods to identify trends and relationships.

Application Of Descriptive Analytics in Banking - A Credit Card Use Case
  • 3 bar graph
    Difficulty: Advanced

    Designed for those with a technical background or industry experience

  • Asset 1
    Difficulty: Approximately 3 hours

Course Overview

  • An essential initial step in doing statistical analyses is a descriptive analysis. It gives you a sense of how your data is distributed, aids in the detection of errors and outliers, and enables you to find relationships between variables, preparing you for future statistical analysis.
  • The dynamics of how analytics and artificial intelligence are employed in banking today have dramatically changed as a result of how the data analytics in banking industry has developed along with the wave of the digital revolution. Analytics can be applied to save costs and expand the client base.
  • Learn to effectively utilize the different descriptive analysis techniques for driving business decisions with the help of an example from banking domain.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend accessing this case study via desktop

Skills you will learn

Data Mining

Data Management

Data Aggregation

Data Visualization

Associated Learning Tracks

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.

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Head Data and Analytics at CitiBank India

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Student At Ohio Wesleyan University
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