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Case Studies from Banking and Finance Industry

Beginner

Level

7.5 Hrs

Learning hours

36K+
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Enroll free with email

Skills you will learn

Time Series Forecasting
Decision Trees
Credit Risk Modeling

About this Course

In the digital age, the world has become data-driven. The analysis of data plays a crucial role in the banking and finance industry. It improves the efficiency of the organizations, increases returns, and supports in achieving the business goals. The meaningful insights derived from data help in better decision-making. Data Analytics has enormous potential in the banking and finance industry that we will understand with the help of a number of banking analytics case studies in this course. The course covers the use of analytics in risk, credit risk modelling, Decision Trees, and their application. Banks and Financial Institutions are already using analytics to move their business forward and generate a meaningful increase in profits. Learn how they do it with this course.

Get training for a successful career in data analytics by joining Great Learning’s best online data science course in collaboration with the University of Texas. Learn technical skills through hands-on projects and personalized mentorship. Learn with the industry insiders and get closer to the career you are seeking with the career assistance services provided by Great Learning.

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Course Outline

Using Analytics in Risk
Primer on Anti-Money Laundering Analytics
Credit Risk Modeling
Credit Rating Prediction using Time Series Forecasting
Predict the risk of dealers defaulting using Data Analytics
Introduction to Decision Trees and it's application in predicting Gold Loan Risk

Case Studies from Banking and Finance Industry

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7.5 Hrs

Learning hours

Beginner

Level

36K+
local_fire_department

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