Developing Credit Risk Scorecard using SAS
Developing Credit Risk Scorecard using SAS, available at $44.99, has an average rating of 4.4, with 16 lectures, based on 53 reviews, and has 191 subscribers.
You will learn about Learn Model Development Understand step by step application of SAS codes Understand output interpretation Aligning Analytics with Business Requirements Complete end to end credit risk scorecard development Model Validation and Calibration This course is ideal for individuals who are Students or Analytics Professionals or Beginners SAS developers intending to transition towards risk analytics It is particularly useful for Students or Analytics Professionals or Beginners SAS developers intending to transition towards risk analytics.
Enroll now: Developing Credit Risk Scorecard using SAS
Summary
Title: Developing Credit Risk Scorecard using SAS
Price: $44.99
Average Rating: 4.4
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: ₹999
Quality Status: approved
Status: Live
What You Will Learn
- Learn Model Development
- Understand step by step application of SAS codes
- Understand output interpretation
- Aligning Analytics with Business Requirements
- Complete end to end credit risk scorecard development
- Model Validation and Calibration
Who Should Attend
- Students
- Analytics Professionals
- Beginners SAS developers intending to transition towards risk analytics
Target Audiences
- Students
- Analytics Professionals
- Beginners SAS developers intending to transition towards risk analytics
Credit Risk Analytics is undoubtedly a very crucial activity in the field of financial risk management in banking and finance industries worldwide. This course is meant to teach you the process of creating a credit risk scorecard step by step from scratch and how to validate and calibrate the final model. It takes you through the various steps and the logic behind each and every step with a clear demonstration and interpretation of output using SAS. The course is divided into sections like theoretical framework where the essential theoretical background is explained. In the model development phase the various steps of model building is explained using SAS which includes data preparation, model building with the algorithm, essential checks to perform around the model and addressing vital model parameters like multicollinearity and variable selection. It finally ends with the demonstration of validation steps and calibration of model using SAS. The dataset is also provided for your practice. The dataset used in this course depicts a real world banking dataset and the variables are selected keeping in mind the real world banking practices.
This course is suitable for beginners as well as advanced learners or working professionals in this field as all the concepts are explained in a very easy to understand manner.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Theoretical Framework
Lecture 1: Observation and Performance Window
Lecture 2: Vintage Analysis
Lecture 3: Scorecard Objective
Lecture 4: Let's explore the dataset
Chapter 3: Model Development
Lecture 1: Logistic Regression Algorithm
Lecture 2: Data Preparation
Lecture 3: Information Value and WOE
Lecture 4: Creating WOE variables
Lecture 5: Multicollinearity
Lecture 6: Hosmer Lemeshow Test
Lecture 7: Concordant and Somer's D
Lecture 8: Rank Ordering, KS and Gini coefficient
Lecture 9: Clustering check
Chapter 4: Model Validation
Lecture 1: Validation
Lecture 2: Brier Score
Instructors
-
Subhashish Ray
B.E (E&E), MBA (Finance), PRM, SAS and Tableau Certified
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 13 votes
- 4 stars: 18 votes
- 5 stars: 21 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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