Decision Tree Endeavour Pvt. Ltd.
Programme

Credit Risk Analysis & Hedging Assessment

Assessing credit risk and hedging strategies with quantitative, data-driven rigour.

Business Intelligence & Analytics Lab (BIAL)

Program Overview

(Highly Recommended Certification Course Boosting the Employment Creation!!)

Welcome to Credit Risk Modeling in R/Python / SAS that proves recommendations for creating jobs and economic security both in INDIA and U.S. The only course that teaches you how Commercial Banks, Financial Institutions & Lending Companies use data science modeling in SAS /Python to improve their performance and comply with regulatory requirements. This is the perfect course for the professionals who are aspiring for rapid career progression and exponential growth in their career. Credit risk management is the part of the comprehensive management and also the part of the lending control system.

Credit risk can be considered as one of the major risk because it is associated with every active trade. Commercial Banks/Financial Institutions generally handled risk management strategy that incorporates the principles of risk management processes including risk identification, monitoring and measurement. The aim of the credit risk management is to maintain the efficiency of the business activities and the continuity of the business.

Credit risk is the risk of loss given default (LGD) that does not meet its obligation under the conditions of the contract and thus causes the holders of creditor’s loss. These obligations arise from lending activities, trade and investment activities, payment and settlement of securities trading and there may be cases if a counter party fails to honour its undertaking and repay fully or partially due principal and interest, have not repaid on time. Credit risk is part of most balance sheet assets and off-balance sheet transections series.

Credit risk modeling workflow — sample import to model reporting
Credit Risk Analysis — Decisiontree Endeavour
Why this programme

Programme highlights

A BIAL Employment Augmentation Learning Programme (EALP), recognized by the corporate sector.
Two semesters (One Year) of weekend / after-hours classes — no career break.
Emphasis on Experiential Learning including Case Studies, Simulations, spyder-jupyter labs, Group Assignments, etc.
The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.
Participants who successfully complete the programme will become members of an elite & global community of DECISIONTREE ENDEAVOUR Alumni.
Option to submit fee using easy-Semester wise with 0% interest. Enroll with only INR 800/- & Course Fees: 12500/- Per Semester.
Is it for you?

Who this course is for

You should take this course if you are a…..

Management / Commerce Graduate student interested in improving their skills.
Working professional want to specialize in credit risk modeling & aspiring for rapid career progression.
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
This course is for you if you want a great career.

Are there any course requirements or prerequisites?

  • No prior experience is required. We will start from the very basics
  • You’ll need to install Anaconda and Python. We will show you how to do that step by step.
Curriculum outcomes

What you’ll learn

Signing up for the course today could be a great step towards your career in professional Journey. Make sure that you take full advantage of this amazing opportunity!

See you on the inside!

Improve your Linear Algebra & Statistical Python Modelling Skills
Differentiate your data science portfolio with a sizzling subject matter
Fill up your resume with in demand financial data science skills
Build a complete credit risk model in Python
Impress interviewers by showing practical knowledge
How to preprocess real data in Python
Learn credit risk modeling theory
Apply state of the art data science techniques
Solve a real-life data science task
Be able to evaluate the effectiveness of your model
Perform linear and Binomial logistic regressions in Python
Hands-on

Tools & software you’ll use

Python programming language logo
Python
R statistical programming language logo
R
SAS analytics software logo
SAS
IBM SPSS Statistics software logo
SPSS
Jupyter Notebook logo
Jupyter
Spyder Python IDE logo
Spyder
Google Colab logo
Google Colab
GAAFS Global Accreditation Assessment Forum logo
GAAFS
Get started

Interested in this programme?

Talk to our team about curriculum, schedule and enrolment.