|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/developing-an-application-scorecard-using-sas/
课程评论：没有评论
课程名称：使用SAS开发应用评分卡 课程概述：本课程旨在为参与者提供必要的知识和实践技能，以使用SAS软件构建稳健的应用评分卡。应用评分卡是金融机构评估新申请者信用worthiness的重要工具，有助于做出明智的贷款决策。课程将引导参与者完成开发应用评分卡的整个过程，包括数据准备、变量选择、模型开发、验证和部署。 课程目标：完成本课程后，参与者将能够： - 理解信用风险评估的基本概念以及应用评分卡在贷款过程中的重要性。 - 学习如何使用SAS软件进行数据处理、数据准备和信用风险建模中的统计分析。 - 掌握数据预处理技术，包括数据清理、填补和异常值处理。 - 精通特征工程的过程，以创建对应用评分卡有用的变量。 - 积累使用SAS构建和优化预测模型以进行信用风险评估的实践经验。 - 实施模型验证技术，以确保应用评分卡的准确性和可靠性。 - 了解评分卡实施、监控和持续维护的最佳实践。 目标受众：本课程适合信用风险分析师、风险管理人员、数据分析师以及希望提高使用SAS进行应用评分卡开发技能的金融机构专业人士。还适合对信用风险建模和贷款行业决策感兴趣的个人。
The "Developing an Application Scorecard using SAS" course is designed to equip participants with the knowledge and practical skills necessary to build robust application scorecards using SAS software. Application scorecards are critical tools used by financial institutions to assess the creditworthiness of new applicants and make well-informed lending decisions. This course will guide participants through the entire process of developing an application scorecard, from data preparation and variable selection to model development, validation, and deployment.Course Objectives:By the end of this course, participants will:Understand the fundamentals of credit risk assessment and the significance of application scorecards in the lending process.Learn how to use SAS software for data manipulation, data preparation, and statistical analysis in the context of credit risk modeling.Develop expertise in data preprocessing techniques, including data cleaning, imputation, and outlier handling.Master the process of feature engineering to create informative variables for the application scorecard.Gain practical experience in building and optimizing predictive models using SAS for credit risk evaluation.Implement model validation techniques to ensure the accuracy and reliability of the application scorecard.Understand the best practices for scorecard implementation, monitoring, and ongoing maintenance.Target Audience: This course is ideal for credit risk analysts, risk managers, data analysts, and professionals working in financial institutions who want to enhance their skills in application scorecard development using SAS. It is also suitable for individuals interested in credit risk modeling and decision-making in the lending industry.
