|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-cleaning
课程评论：没有评论
课程名称：获取和清理数据 概述：在处理数据之前，首先需要获取数据。本课程将涵盖获取数据的基本方法，包括从网络、API、数据库以及不同格式的同事处获取数据。课程还将介绍数据清理的基础知识以及如何使数据“整齐”。整齐的数据可以显著提高后续数据分析的效率。课程还将讨论完整数据集的组成部分，包括原始数据、处理说明、代码手册和处理后的数据。课程将涵盖收集、清理和分享数据所需的基础知识。 课程大纲： 第一周：在课程的第一周，我们将探讨如何寻找数据和读取不同的文件类型。 第二周：欢迎来到获取和清理数据的第二周！本周主要目标是介绍最常见的数据存储系统及从网络或数据库（如MySQL）提取数据的合适工具。 第三周：欢迎来到获取和清理数据的第三周！本周的讲座将集中于组织、合并和管理您在第一和第二周收集的数据。 第四周：欢迎来到获取和清理数据的第四周！这一周我们将重点讲解R中的文本和日期操作。此外，我们还将关注课程项目的同行评分。
Part: 1
Title:Week 1
Description:In this first week of the course, we look at finding data and reading different file types.
Part: 2
Title:Week 2
Description:Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL.
Part: 3
Title:Week 3
Description:Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2.
Part: 4
Title:Week 4
Description:Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects.
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.
