|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-mining-pipeline
课程评论：没有评论
课程名称：数据挖掘流程 概述：本课程介绍了数据挖掘流程中关键步骤，包括数据理解、数据预处理、数据仓储、数据建模、解释与评估，以及实际应用。数据挖掘流程课程可以作为CU Boulder数据科学硕士学位（MS-DS）的一部分获得学术学分。MS-DS是一个跨学科的学位项目，汇集了来自CU Boulder应用数学、计算机科学、信息科学等多个部门的教员。该项目采用基于表现的招生方式，无需申请过程，适合具有广泛计算机科学、信息科学、数学和统计学本科教育和/或专业经验的个人。更多关于MS-DS项目的信息，请访问：https://www.coursera.org/degrees/master-of-science-data-science-boulder。 课程大纲： 1. 课程介绍：本周向您介绍数据挖掘专业及本课程“数据挖掘流程”。您将了解数据挖掘的四个视角以及数据挖掘流程中的关键组成部分。 2. 数据理解：本周通过识别关键数据属性并应用技术来描述不同数据集，帮助您理解数据。 3. 数据预处理：本周解释数据预处理的必要性以及可以用来预处理数据的技术。 4. 数据仓储：本周讨论数据仓储的关键特征以及支持数据仓储的技术。
Name:Data Mining Pipeline
Description:This week provides you with an introduction to the Data Mining Specialization and this course, Data Mining Pipeline. As you begin, you will get introduced to the four views of data mining and the key components in the data mining pipeline.
Name:Data Understanding
Description:This week covers data understanding by identifying key data properties and applying techniques to characterize different datasets.
Name:Data Preprocessing
Description:This week explains why data preprocessing is needed and what techniques can be used to preprocess data.
Name:Data Warehousing
Description:This week covers the key characteristics of data warehousing and the techniques to support data warehousing.
This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications. Data Mining Pipeline can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Course logo image courtesy of Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA
