Financial Analytics

Go beyond number-crunching, learn number-decoding.

As a finance professional you are good at numbers, but is that enough to unravel actionable insights? Learn to solve business problems of how to acquire the right customers and maximize customer profitability using analytical tools and techniques such as credit scorecards, cross-sell recommender models, and segmentation. The author of this course is Dr. Sandhya Kuruganti.Click here to know more about her

PRE-REQUISITES

Prior background in data analysis. Ability to create insightful reports. A good grasp of R programming and ability to use predictive modelling techniques such as linear, logistic, decision tree and clustering.

TOOLS

ACCESS DURATION

6 months

COURSE DURATION

12 weeks

Financial Analytics

₹ 24,000

CURRICULUM

The course contains 13 modules.

Most students are able to complete all modules in 12 weeks or less

MODULE 01. Overview of Analytics for Banking

MODULE 02. Data Sources, Glossary of Terms and P&L

MODULE 03. Acquisition Analytics - Marketing

MODULE 04. Acquisition Analytics - Risk

MODULE 05. Usage Analytics - Marketing and Risk

SEE ALL

CASE STUDIES COVERED

Screen Applications

Help a bank develop a mechanism to screen potentially risky customers using application level data by creating a classifier that can filter out risky customers at the application stage.

Segment Existing Customers

Use the dataset on approved loans and create segments for use by acquisition marketing team to review approval rate and sourcing strategy.

Improve Card Usage

Help a marketing team improve spend and balance on credit cards by finding appropriate cohorts in the customer base.

Cross Sell

Help a bank explore ways of converting its liability customers to personal loan customers to increase the size of its loan business.

Retention Models

Help a bank to understand the extent of customer inactivity and then help to formulate a data driven strategy to tackle customer attrition.

Create a Business Score Card Model

Look for a predictive analytics tool that is based on monitoring customer behaviour in terms of repayments and credit usage to determine eligibility.

WHAT YOU GET

Faculty & Technical Support

Ticketing system for faculty and technical support

Mobile App Access

Learn on the go, wherever you are with mobile access to Jigsaw's course videos.

Case Studies

Multiple, industry relevant data sets and case studies across different industries

FINAL OUTCOME

After completing the course, you would have learnt how to analyze financial services data and develop models using the popular SAS tool. This course would be of immense help in your Finance career.