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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-statistics-and-data-mining-for-data-science/
课程评论：没有评论
课程名称：高级统计与数据挖掘用于数据科学 课程概述：数据科学是一个不断发展的领域，集成了统计学、计算机科学和机器学习的技术与理论。本视频课程将成为您的学习伙伴，确保您掌握各种数据挖掘和统计技术。课程开始时将对统计学和数据挖掘进行比较，并概述数据科学家通常会遇到的各种项目类型。您将学习预测/分类建模，这是最常见的数据分析项目类型。随着学习的深入，您将了解三种预测建模方法（统计学、决策树和机器学习）。最后，您将探索分割建模，以学习聚类分析的技巧。在课程结束时，您将学习关联建模，从而能够进行市场购物篮分析。本课程使用SPSS v25，尽管不是最新版本，但为SPSS的老用户提供了相关且有价值的内容。 关于作者：耶稣·萨尔塞多（Jesus Salcedo）拥有福坦莫大学的心理测量学博士学位。他是一名独立的统计与数据挖掘顾问，使用SPSS产品超过20年。曾担任SPSS课程团队负责人和高级教育专家，撰写过多门SPSS培训课程，并培训了数千名用户。
Data Science is an ever-evolving field. Data Science includes techniques and theories extracted from statistics, computer science, and machine learning. This video course will be your companion and ensure that you master various data mining and statistical techniques.The course starts by comparing and contrasting statistics and data mining and then provides an overview of the various types of projects data scientists usually encounter. You will then learn predictive/classification modeling, which is the most common type of data analysis project. As you move forward on this journey, you will be introduced to the three methods (statistical, decision tree, and machine learning) with which you can perform predictive modeling. Finally, you will explore segmentation modeling to learn the art of cluster analysis. Towards the end of the course, you will work with association modeling, which will allow you to perform market basket analysis.This course uses SPSS v25, while not the latest version available, it provides relevant and informative content for legacy users of SPSS.About the Author:Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical and data mining consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.
