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Credit Risk Analysis & Hedging Assessment

Welcome to Credit Risk Modeling in R/Python / SAS that proves recommendations for creating jobs and economic security both in INDIA and U.S.

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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.

Programme Highlights

  1. Post Graduate Program in Credit Risk Analysis is a BIAL (A Unit of DECISIONTREE ENDEAVOUR) Employment Augmentation Learning Programme (EALP). DECISIONTREE ENDEAVOUR Employment Augmentation Learning Programme are well framed and recognized by the corporate sector.
  2. The programme is of two semesters(One Year), with classroom contact program usually conducted mostly on weekends or after business hours. You can pursue the programme without any career break.
  3. Emphasis on Experiential Learning including Case Studies, Simulations, spyder-jupyter labs, Group Assignments, etc.
  4. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.
  5. Participants who successfully complete the programme will become members of an elite & global community of DECISIONTREE ENDEAVOUR Alumni.
  6. Option to submit fee using easy-Semester wise with 0% interest. Enroll with only INR 800/- & Course Fees: 12500/- Per Semester.

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.

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
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