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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ibm-spss-modeler-getting-stated/
课程评论：没有评论
**课程概述：** 本课程是“IBM SPSS Modeler：入门”课程，旨在帮助您快速、直观地构建预测模型，无需编程。SPSS Modeler 是一个数据挖掘工作台，常用于数据分析、数据挖掘和模型部署。 **课程内容：** * **数据挖掘入门：** 介绍数据挖掘的基本概念，以及 CRISP-DM 方法论，作为贯穿课程的指导框架。学习如何使用 Modeler。 * **数据理解：** 学习如何读入数据，并重点关注数据的描述、探索和质量评估。 * **数据准备：** 学习如何整合和构建数据。 * **建模：** 专注于构建预测模型。 * **评估：** 学习如何解读数据挖掘结果，以实现业务目标。 * **部署：** 学习如何将您的发现付诸实践。 **学习方式：** 课程包含一系列独立的视频，每个视频都提供详细的操作说明，解释技术的使用场景、设置方法和结果解读。 **目标群体：** 数据分析师以及希望通过数据挖掘和建模来分析数据并实现业务目标的学习者。
IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models. Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results. This course is broken up into phases. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. We will discuss how to read data into Modeler. We will also focus on describing, exploring, and assessing data quality. The Data Preparation Phase discusses how to integrate and construct data. While the Modeling Phase will focus on building a predictive model. The Evaluation Phase focuses how to take your data mining results so that you can achieve your business objectives. And finally the Deployment Phase allows you to do something with your findings.
