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所在平台: Udemy |
课程主页: https://www.udemy.com/course/predictive-analytics-modeling-with-sas/
课程评论：没有评论
课程名称：SAS Enterprise Miner：数据挖掘与预测建模 课程概述： 欢迎加入我们的SAS Enterprise Miner课程！在这个全面的项目中，您将深入学习使用业内领先工具SAS Enterprise Miner进行预测建模和数据挖掘的细节。通过本课程，您将掌握SAS Enterprise Miner的强大功能，提取数据中的有意义见解，构建可靠的预测模型，并做出明智的商业决策。无论您是经验丰富的数据分析师还是该领域的新手，本课程都将帮助您掌握必要的技能与知识，使您在数据科学与分析领域中脱颖而出。让我们一起踏上这段探索SAS Enterprise Miner广泛能力的旅程，发掘数据的潜力！ 第一部分：SAS Enterprise Miner 介绍 在这一部分中，您将获得对SAS Enterprise Miner的全面介绍，一个强大的预测建模和数据挖掘工具。从基础知识开始，您将学习如何导航界面、选择数据集并创建输入数据节点。通过实操演示，您将探讨元数据顾问选项、样本统计信息和试验报告等多种功能，为接下来的学习奠定坚实的基础。 第二部分：SAS Enterprise Miner 变量选择 这一部分专注于SAS Enterprise Miner中的变量选择技术。您将深入了解输入变量、R方值和二元目标变量等概念。通过实践练习，您将深入理解变量选择方法、频率表和模型比较。到本部分结束时，您将具备有效选择和分析预测模型中变量的能力。 第三部分：SAS Enterprise Miner 模型组合 在这一部分中，您将学习如何结合SAS Enterprise Miner中的不同模型以提高预测准确性。您将探讨决策树、神经网络和回归模型等技术。通过互动课程，您将理解模型迭代图、子系列图和集成图。到本部分结束时，您将熟练掌握结合和分析多种建模技术以获得最佳结果的技巧。 第四部分：SAS Enterprise Miner 神经网络 这一部分深入探讨使用SAS Enterprise Miner进行神经网络建模。您将了解神经网络架构、模型权重历史和ROC曲线。通过实践案例，您将获得构建和评估神经网络模型的实际经验。掌握神经网络技术后，您将能处理复杂的数据挖掘任务并从数据中提取有价值的见解。 第五部分：SAS Enterprise Miner 回归 在最后一部分中，您将探讨SAS Enterprise Miner中的回归建模技术。您将学习如何进行二元目标的回归分析、解读回归模型结果和创建效应图。通过逐步教程，您将理解回归建模的复杂性及其在预测分析中的应用。到本部分结束时，您将全面掌握回归技术及其在数据驱动决策中的重要作用。 在整个课程中，您将参与实用练习、真实案例研究以及互动讨论，以加强您的学习。不论您是新手还是经验丰富的数据科学家，本课程都将使您能够充分利用SAS Enterprise Miner进行预测建模与数据分析。
Welcome to our course on SAS Enterprise Miner! In this comprehensive program, you will delve into the intricacies of predictive modeling and data mining using one of the industry's leading tools, SAS Enterprise Miner. Throughout this course, you will learn how to leverage the powerful features of SAS Enterprise Miner to extract meaningful insights from your data, build robust predictive models, and make informed business decisions. Whether you're a seasoned data analyst or a beginner in the field, this course will equip you with the skills and knowledge needed to excel in the world of data science and analytics using SAS Enterprise Miner. Join us on this exciting journey as we explore the vast capabilities of SAS Enterprise Miner and unlock the potential of your data!Section 1: SAS Enterprise Miner IntroIn this section, you'll receive a comprehensive introduction to SAS Enterprise Miner, a powerful tool for predictive modeling and data mining. Starting with the basics, you'll learn how to navigate the interface, select datasets, and create input data nodes. Through hands-on demonstrations, you'll explore various features such as metadata advisor options, sample statistics, and trial reports, laying a strong foundation for your journey ahead.Section 2: SAS Enterprise Miner Variable SelectionThis section focuses on variable selection techniques in SAS Enterprise Miner. You'll delve into concepts like input variables, R-square values, and binary target variables. Through practical exercises, you'll gain insights into variable selection methods, frequency tables, and model comparison. By the end of this section, you'll be equipped with the skills to effectively choose and analyze variables for your predictive models.Section 3: SAS Enterprise Miner CombinationIn this section, you'll learn how to combine different models in SAS Enterprise Miner to enhance predictive accuracy. You'll explore techniques like decision trees, neural networks, and regression models. Through interactive sessions, you'll understand model iteration plots, subseries plots, and ensemble diagrams. By the end of this section, you'll be proficient in combining and analyzing diverse modeling techniques for optimal results.Section 4: SAS Enterprise Miner Neural NetworkThis section delves into neural network modeling using SAS Enterprise Miner. You'll learn about neural network architectures, model weight history, and ROC charts. Through practical examples, you'll gain hands-on experience in building and evaluating neural network models. By mastering neural network techniques, you'll be able to tackle complex data mining tasks and extract valuable insights from your data.Section 5: SAS Enterprise Miner RegressionIn this final section, you'll explore regression modeling techniques in SAS Enterprise Miner. You'll learn how to perform regression analysis with binary targets, interpret regression model results, and create effect plots. Through step-by-step tutorials, you'll understand the intricacies of regression modeling and its applications in predictive analytics. By the end of this section, you'll have a solid understanding of regression techniques and their role in data-driven decision-making.Throughout the course, you'll engage in practical exercises, real-world case studies, and interactive discussions to reinforce your learning. Whether you're a novice or an experienced data scientist, this course will empower you to harness the full potential of SAS Enterprise Miner for predictive modeling and data analysis.
