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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-and-predictive-modeling-using-sas/
课程评论：没有评论
课程名称：SAS编程统计分析师认证课程 课程概述： 本课程旨在帮助准备通过SAS认证统计业务分析师（使用SAS 9.4）回归与建模考试（考试编号：A00-240）的学员。无论是想提升分析技能还是推动职业发展，该课程都提供了成功所需的基本知识和实践经验。 课程亮点： - **全面的考试准备**：提供SAS认证统计业务分析师考试的完整指南。 - **行业认可的认证**：该SAS认证是SAS提供的特色证书之一，为您的职业档案增添价值。 您将学习的内容： 通过参加本课程，您将掌握以下技能： 1. 方差分析（ANOVA） 2. 线性与逻辑回归 3. 预测模型的输入准备 4. 模型性能测量 课程方法论： - **逐步代码解释**：每个SAS程序都得到详细解释，确保清晰理解。 - **结构化学习**：通过引人入胜的PowerPoint演示介绍统计概念。 - **全面的输出分析**：详细解释所有统计输出，加深理解。 - **端到端预测建模**：涵盖数据准备、抽样、模型构建、验证、评分和性能测量。 其他课程特性： - **可下载资源**：课程中使用的所有数据集、SAS程序和PowerPoint幻灯片均可在第4讲下载（注意：材料仅供练习，受版权保护）。 - **测验与评估**：每部分结束后可进行知识测试。 先决条件： 建议具备基本的统计分析知识，以优化学习体验。 课程所需软件： 本课程最初开发使用SAS University Edition，但已全面更新为SAS OnDemand for Academics，一个免费的基于网络的SAS Studio版本。软件的界面、功能和外观保持一致，确保顺畅的学习体验。第2部分提供了使用SAS OnDemand for Academics的详细说明。 课程评分与评价 - 教师的声明： 您的诚实和深思熟虑的反馈十分重要！您的评分帮助改善课程内容，提升学习体验。课程会定期更新，以反映最新的SAS认证变更并结合学生建议，确保其相关性和价值。公正且具有建设性的评价对于提升课程质量至关重要，衷心感谢您的真诚反馈。在该领域，评分超过4.5的课程通常被认为是高质量内容的指标。感谢您的支持！
This course is designed for anyone preparing to pass the SAS Certified Statistical Business Analyst Using SAS 9.4: Regression and Modeling exam (Exam ID: A00-240). Whether you're looking to enhance your analytical skills or advance your career, this course provides the essential knowledge and hands-on experience needed to succeed.Course HighlightsComprehensive Exam Preparation: A complete guide for the SAS Certified Statistical Business Analyst Using SAS 9.4: Regression and Modeling (Exam ID: A00-240).Industry-Recognized Certification: This SAS certification is one of the featured credentials offered by SAS, adding value to your professional portfolio.What You Will LearnBy taking this course, you will gain mastery in:1. Analysis of Variance (ANOVA)2. Linear and Logistic Regression3. Preparing Inputs for Predictive Models4. Measuring Model PerformanceCourse MethodologyStep-by-Step Code Explanations: Each SAS program is thoroughly explained, ensuring clarity and understanding.Structured Learning: Statistical concepts are presented through engaging PowerPoint presentations.Comprehensive Output Analysis: Detailed explanations of all statistical outputs help solidify your understanding.End-to-End Predictive Modeling: Covers data preparation, sampling, model building, validation, scoring, and performance measurement.Additional Course FeaturesDownloadable Resources: All datasets, SAS programs, and PowerPoint slides used in the course are available for download in Lecture 4 (Note: Materials are for practice only and are protected by copyright).Quizzes & Assessments: Test your knowledge with quizzes at the end of each section.PrerequisitesBasic knowledge of statistical analysis is highly recommended for an optimal learning experience.SAS Software for This CourseThis course was originally developed using SAS University Edition but has been fully updated for SAS OnDemand for Academics-a free, web-based version of SAS Studio. The software's interface, functionality, and appearance remain consistent, ensuring a seamless learning experience.Detailed instructions for using SAS OnDemand for Academics are provided in Section 2.Course Ratings & Reviews - A Note from the InstructorYour honest and thoughtful feedback is highly appreciated! Your ratings help improve course content and enhance your learning experience. This course is regularly updated to reflect the latest SAS certification changes and incorporate student suggestions, ensuring it remains relevant and valuable. Fair and constructive reviews are essential to improving the course's quality, and I truly appreciate your honest input. In this field, course ratings above 4.5 are widely regarded as indicators of high-quality content.Thank you for your support!ReferencesSAS Certification Prep Guide: Statistical Business Analysis Using SAS 9
